ML Remote Jobs

272 Results

16d

Parallel Works - Project Manager

1871 Member CompaniesUnited States, Remote
ML

1871 Member Companies is hiring a Remote Parallel Works - Project Manager

About Us

Parallel Works is a Chicago-based startup focused on technical computing for science, engineering and business applications. The Parallel Works ACTIVATE SaaS platform makes high performance computing (HPC) workflows easy, fast and collaborative on hybrid cloud and supercomputing environments. The platform acts as middleware between these wide ranges of computing resources and allows organizations to leverage their resource, billing and user hierarchies in a uniform way. Our customers range from small and nimble startups and research organizations creating innovative computing and ML pipelines to the world’s leading flood modeling engineers to government weather and defense agencies to global automotive suppliers.

The Role

In your role as Project Manager you will lead and coordinate projects in High-Performance Computing (HPC) environments. The ideal candidate will possess a strong technical background in HPC, an understanding of computational workflows, and proven experience in managing complex technical projects. In this role, you will work closely with cross-functional teams, including Software and HPC engineers, research scientists, IT professionals, and stakeholders, to deliver HPC projects on time, within scope, and on budget.

Responsibilities

  • Define project objectives, scope, timelines, and deliverables for HPC projects.
  • Develop detailed project plans, coordinate team schedules, and ensure timely completion of milestones.
  • Track project progress and adjust plans as necessary to ensure successful delivery.
  • Act as the primary point of contact for stakeholders, including researchers, engineers, and executive sponsors.
  • Proactively identify and mitigate project risks, ensuring smooth and reliable project execution.
  • Communicate project updates, risks, and impacts clearly and effectively to stakeholders at all levels.
  • Collaborate with teams to prioritize requirements and allocate resources effectively.
  • Work with technical teams to ensure projects meet performance standards and industry requirements.
  • Identify and implement process improvements to enhance project outcomes and efficiency.
  • Maintain comprehensive project documentation, including technical specifications, progress reports, and post-project evaluations.

Required Experience

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 5+ years of project management experience, preferably in an HPC or high-performance technical environment.
  • Experience managing projects related to HPC and web software Familiarity with project management methodologies (e.g., Agile, Waterfall) and tools (e.g., JIRA, MS Project).
  • Certification in Project Management (PMP, PMI-ACP, etc.) is a plus.
  • Coding Experience is a plus.

Parallel Works is an Affirmative Action, Equal Opportunity Employer. As part of our standard hiring process for new employees, employment with Parallel Works will be contingent upon successful completion of a comprehensive technical evaluation and a background check.

Health, Dental, Vision, 401k

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17d

Senior Machine Learning Scientist - NLP

EcoVadisBarcelona, Spain, Remote
ML ● Master’s Degree ● Design ● azure ● python

EcoVadis is hiring a Remote Senior Machine Learning Scientist - NLP

Job Description

We are looking for a highly motivated Senior Machine Learning Scientist (NLP)to join our growing AI Center of Excellence team, responsible for using machine learning and natural language processing to drive innovation across the organization and accelerate positive impact on our planet and society. You will be part of the team of 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.

Your global responsibilities will include (but will not be limited to):

  • Working with large, complex data sets to solve challenging business problems by applying advanced analytical methods as needed

  • Articulating and translating business questions into technical solutions

  • Leveraging Python, MLflow,  Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end solutions

  • Building, benchmarking, and maintaining machine learning models

  • Promoting best practices in machine learning

  • Staying in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value

  • Staying on top of technology trends in the area of, but not limited to, AI and ML and apply this knowledge to the key challenges ahead of EcoVadis 

Qualifications

Education and experience

  • PhD or Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Data Science, Physics) 

  • 5+ years of overall experience in machine learning and data mining techniques

  • Demonstrable experience in using  machine learning techniques and algorithms for classification/regression problems in industry

  • Proficiency in Python and ML frameworks and libraries (e.g., TensorFlow, PyTorch)

  • Excellent understanding of architectures used in NLP, such as transformers and RNN models, and NLP tasks (e.g., named entity recognition(NER),  entity linking, question answering, semantic search) 

  • Ability  to independently design testable software components in well scoped scenarios, with simplicity, observability and maintenance as key considerations, and to apply best ML and software development practices

  • Experience of cross-functional collaboration in the development of ML products and services (e.g., Engineers, Product Managers) is a plus

Skills, abilities and work standards:

  • Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection. 

  • Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals. 

  • Authentic - Being honest and authentic in communication, feedback and strategy.

  • Results-driven- Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals. 

  • Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources. 

  • Collaborator & Partner- Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating success. 

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18d

Senior Software Engineer (Generative AI)

ExperianCosta Mesa, CA, Remote
ML ● Lambda ● jira ● terraform ● airflow ● sql ● slack ● python ● AWS ● javascript ● Node.js

Experian is hiring a Remote Senior Software Engineer (Generative AI)

Job Description

The Experian Consumer Services Generative AI team is accelerating Experian's impact by bringing together data, technology, and data science to build game-changing products and services for our customers. We are looking for a Senior Software Engineer, reporting to the Head of AI/ML Innovation, to support developing and integrating our Generative AI Models with Consumer Services products. These new capabilities will help provide Financial Power to All our customers. As a growing team, we embrace a startup mentality while operating in a large organization. We value speed and effect – and our results and ways of working are transforming the culture of the larger organizations around us.

Role accountabilities and essential activities

  • You'll develop and integrate our generative AI solutions with existing software teams building products
  • Develop a scalable machine learning framework for data science products
  • You will develop scalable pipelines, tools, and services for building production-ready machine-learning models
  • Work with our data scientists to pilot our products with beta customers
  • Maintain our culture of simple, streamlined code and full CI/CD automation
  • Develop simple, streamlined, and well-tested ML pipeline components

Qualifications

  • You have 5+ years of experience
  • Strong coding experience in Python with some familiarity to PySpark and SQL
  • Familiarity with popular python libraries such as pandas, numpy, flask, matplotlib
  • Familiarity with the AWS platform and services, including CI/CD automation methods
  • Familiarity with AWS serverless methodology, particularly Fargate, Lambda, ECR
  • Familiarity with CloudFormation, Terraform, or equivalent
  • You have experience working with machine learning or generative AI libraries such as Langchain, llamaindex, Langsmith, and llamaguard
  • Open source Foundation models: llama3, llama2, mistral, falcon, phi
  • Orchestration Frameworks: Mlflow, airflow
  • Some knowledge of javascript (node.js) as a front end
  • You have experience or familiarity with Databricks AI services and Mosaic branded services
  • Comfortable supporting troubleshooting and assessment of production issues when needed
  • You are experienced with monitoring tools such as Splunk, Datadog, Dynatrace
  • Test writing discipline in standard development tools and processes, e.g., gitub, Jira, Slack
  • Record of building and maintaining large-scale software systems in production

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18d

Tech Lead/CTO

GenesisКиїв, UA - Remote - Hybrid
ML ● PWA ● redis ● terraform ● RabbitMQ ● azure ● api ● qa ● .net ● docker ● postgresql ● typescript ● kubernetes ● python

Genesis is hiring a Remote Tech Lead/CTO

Genesis — це українська кофаундингова ІТ-компанія та один з найбільших паблішерів неігрових застосунків. Разом з найкращими підприємцями Центральної та Східної Європи ми створюємо та розвиваємо глобальні технологічні бізнеси. Основні наші ринки — це США, Європа й Африка.

Як кофаундингова компанія, Genesis спочатку надає перспективним стартапам необхідні ресурси та експертизу для розвитку, а потім супроводжує проєкт, поки він не стане самостійним бізнесом. Зараз у нашій екосистемі розвиваються 25 проєктів у чотирьох основних напрямах: мобільні застосунки, онлайн-медіа, e-commerce та R&D.

Ми шукаємо Tech Lead / CTO, котрий має успішний досвід розробки АІ продукту з МL, LLM та хмарними сервісами Azure. Отримавши цю посаду першочерговим пріоритетом в роботі буде визначення правильної ML інфраструктури та архітектури проекту для скейлінгу навантаження.

Продукт, який ми успішно розвиваємо: Футуристичний Social Discovery проект, котрий запущений на ринок США та має вектор на АІ генерації зображень, відео, чатів, тощо.

Стек:NET 8, React, Python (ML), Azure, RabbitMQ, Redis, PostgreSQL, SignalR, Docker, EF Core, Google Cloud Storage, React, Typescript, SCSS modules, PWA, Next.js, Vercel.

Необхідні навички:

  • Технічна експертиза.Глибоке розуміння бекенд-розробки (.Net, Python), фронтенд-технологій (React, React Native), хмарної інфраструктури (Azure, Docker, Kubernetes).
  • Знання принципів MLOps та DevOps.Досвід роботи з ML для розгортання та підтримки моделей машинного навчання в продакшені. Глибоке розуміння конвеєрів CI/CD, контейнеризації та інфраструктури як коду (Terraform).
  • Вирішення проблем та критичне мислення. Сильні аналітичні здібності з можливістю передбачати потенційні проблеми та усувати швидко поточні ботлнеки, оцінювати ризики та розробляти ефективні рішення. Проактивний підхід до визначення можливостей для вдосконалення процесів, інструментів та технологій.
  • Досвід лідерства та управління командою.Успішний досвід керівництва та управління командами розробників. Досвід постановки цілей, управління термінами та доставки високоякісних програмних продуктів в визначені дедлайни.
  • Відмінні комунікативні навички.Здатність формулювати складні технічні концепції як технічним, так і нетехнічним зацікавленим сторонам.

Зона відповідальності:

  • Проектування архітектури системи.Визначення загальної архітектури системи, забезпечте її масштабованість та безпеку.
  • Масштабованість та оптимізація продуктивності.Розробка архітектури системи, яка буде пристосована до великомасштабних розгортань, з можливістю ефективного масштабування по мірі зростання проекту. Впровадження стратегій оптимізації продуктивності, включаючи балансування навантаження, кешування та асинхронну обробку. А також, моніторинг та оптимізація продуктивності системи, забезпечення низької затримки, високої доступності та мінімального часу простою.
  • Інтеграція та інтероперабельність.Контроль інтеграцій різних підсистем, включаючи бекенд API, фронтенд інтерфейси, хмарну інфраструктуру.
  • Керівництво командою.Керування командою, що включає таких спеціалістів як BE, FE, ML, QA, DevOps.
  • Планування та виконання проектів.Контроль дедлайнів проекту, встановлення проміжних етапів та забезпечення дотримання стандартів якості.
  • Комунікація із стейкхолдерами.Роль посередника між командою розробників та стейкхолдерами. Озвучення технічних концепцій та статус проекту зрозумілою, дієвою інформацією для нетехнічних стейкхолдерів.
  • Рев’ю коду та технічна документація.Проведення код ревʼю, для забезпечення високої якість коду, дотримання архітектурних принципів та передачу знань всередині команди.

Що ми пропонуємо:

  • Комфортні офіси на київському Подолі з надійними укриттями та наявністю безперебійного інтернету, водопостачання та електроживлення. В офісах можна не турбуватися про рутину: тут на тебе чекають сніданки, обіди, безліч снеків та фруктів, лаунжзони, масаж та інші переваги офісного життя;
  • Гнучкий графік роботи;
  • За потреби — допомога з релокацією в безпечні місця та пошуком житла;
  • Онлайн-послуги корпоративного лікаря, а після випробувального терміну — медичне страхування в Україні;
  • 20 робочих днів оплачуваної відпустки на рік, необмежена кількість лікарняних;
  • Усю необхідну для роботи техніку;
  • Компенсацію найкращих на ринку курсів, корпоративні онлайн-мітапи та лекції, велику бібліотеку, бізнес- та менеджмент школи для співробітників;
  • Безкоштовні тренування з бігу, волейболу, боксу та йоги.
  • Корпоративні знижки на абонементи в спортзали.

Приєднуйся до нашої команди перформерів, практиків та глобальних ченджейкерів!

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18d

Data Engineer

Clover HealthRemote - Canada
ML ● remote-first ● tableau ● airflow ● postgres ● sql ● Design ● qa ● c++ ● python ● AWS

Clover Health is hiring a Remote Data Engineer

At Clover, the Business Enablement team spearheads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple, we make it easy for the business to do what’s right for Clover. 

We are looking for a Data Engineer to join our team. You'll work on the development of data pipelines and tools to support our analytics and machine learning development. Applying insights through data is a core part of our thesis as a company — and you will work on a team that is a central part of helping to deliver that promise through making a wide variety of data easily accessible for internal and external consumers. We work primarily in SQL, Python and our data is stored primarily in Snowflake. You will work with data analysts, other engineers, and healthcare professionals in a unique environment building tools to improve the health of real people. You should have extensive experience leading data warehousing projects with advanced knowledge in data cleansing, ingestion, ETL and data governance.

As a Data Engineer, you will:

  • Collaborate closely with operations, IT and vendor partners to understand the data landscape and contribute to the vision, development and implementation of the Data Warehouse solution.
  • Recommend technologies and tools to support the future state architecture.
  • Develop standards, processes and procedures that align with best practices in data governance and data management.
  • Be responsible for logical and physical data modeling, load and query performance.
  • Develop new secure data feeds with external parties as well as internal applications.
  • Perform regular analysis and QA, diagnose ETL and database related issues, perform root cause analysis, and recommend corrective actions to management.
  • Work with cross-functional teams to support the design, development, implementation, monitoring, and maintenance of new ETL programs.

Success in this role looks like:

  • First 90 days:
    • Develop a strong understanding of our existing data ecosystem and data pipelines.
    • Build relationships with various stakeholder departments to understand their day to day operation and their usage and need of Data Eng products.
    • Contribute in the design and implementation of new ETL programs to support the growth and operation efficiency of Clover.
    • Perform root cause analysis after issues have been identified and propose solutions for both short term and long term fixture to increase the stability and accuracy of our pipelines.
  • First 6 months:
    • Provide feedback and propose opportunities for improvement on current data engineering processes and procedures.
    • Work with platform engineers on improving data ecosystem stability, data quality monitoring and data governance.
    • Lead discussion with key stakeholders, propose, design and implement new data eng projects that solve critical business problems.
  • How will success be measured in the future?
    • Continue the creation and management of ETL program and data assets.
    • Be the technical Data Eng lead of our data squad’s day to day operation.
    • Guide and mentor other junior members of the team.

You should get in touch if:

  • You have a Bachelor’s degree in Computer Science or related field along with 5+ years of experience in ETL programming.
  • You have professional experience working in a healthcare setting. Health Plan knowledge highly desired, Medicare preferred.  
  • You have expertise in most of these technologies: 
    • Python 
    • Snowflake 
    • DBT
    • Airflow 
    • GCP
    • AWS
    • BigQuery
    • Postgres 
    • Data Governance 
    • Some experience with analytics, data science, ML collaboration tools such as Tableau, Mode, Looker

#LI-Remote

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.We are an E-Verify company.

Benefits Overview:

  • Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
  • Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
  • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
  • Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

  • Reimbursement for office setup expenses
  • Monthly cell phone & internet stipend
  • Flexibility to work from home, enabling collaboration with global teams
  • Paid parental leave for all new parents
  • And much more!

About Clover:We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

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19d

Application Development Engineer - AI

AristaNashua, NH, Remote
ML ● OpenAI ● 8 years of experience ● agile ● tableau ● Design ● api ● docker ● kubernetes ● python ● AWS

Arista is hiring a Remote Application Development Engineer - AI

Job Description

Arista Networks seeks a Software Developer with expertise in building and implementing advanced software tools, machine learning models, and NLP/LLM solutions. The Application Development Engineer (ADE) will play a key role in developing ML-driven applications and leveraging LLMs to address complex, data-rich challenges, collaborating closely with cross-functional teams throughout the development lifecycle.

We value a proactive team player with attention to detail, strong problem-solving abilities, and experience with Agile frameworks. If you're experienced in deploying large language models, NLP applications, and advanced ML methodologies, we’d love to connect.

Who You’ll Work With

Work a team of Data Scientists in design, train and deploy models and partner with business users to train and fine tune before final deployment.

What You’ll Do

  • Collect, process, and clean large datasets from various structured and unstructured sources.
  • Develop NLP and LLM-based applications tailored to business needs, such as text analysis, summarization, and conversational agents.
  • Design, implement, and optimize machine learning and LLM models, including transformers and language generation techniques.
  • Apply statistical analysis, machine learning, and NLP techniques to solve complex, data-driven business problems.
  • Select appropriate data representation techniques for LLM models, including embeddings and tokenization.
  • Perform hyperparameter tuning, model evaluation, and retraining for LLMs and other ML systems as needed.
  • Develop and maintain data ingestion / parsing processes that support rapid prototyping and deployment of LLM-based solutions.
  • Visualize and present insights to stakeholders, leveraging data visualization tools.
  • Troubleshoot, debug, and enhance existing ML and AI systems.
  • Recommend and implement model improvements based on performance metrics.
  • Document technical processes, model architectures, and findings for reference and reporting.
  • Collaborate with cross-functional teams to develop and deploy data-driven, NLP-powered solutions.
  • Stay current with advancements in LLMs, and machine learning techniques.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, or a related field; or equivalent experience.
  • 5-8 years of experience in ML/NLP model development, with exposure to LLM applications.
  • Experience in deploying models in production environments, monitoring them and improving the performance.
  • Proficiency in Python and SQL.
  • Deep understanding of NLP techniques (tokenization, embeddings, transformers) and experience working with LLM frameworks such as Hugging Face Transformers, OpenAI API, or similar.
  • Solid foundation in data structures, data modeling, and software architecture.
  • Knowledge of statistical methods, probability, and algorithms, with a focus on text analytics.
  • Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and familiarity with NLP tools like spaCy or NLTK.
  • Proficiency in data visualization (Tableau, Power BI, Matplotlib).
  • Familiarity with Jupyter Notebooks for collaborative research.
  • Experience in Agile development methodology.
  • Strong analytical, creative, and team-oriented mindset.
  • Willingness to learn and adopt new technologies.
  • Excellent communication skills and a troubleshooting mindset.

Nice to Have:

  • Knowledge of networking technologies.
  • Experience in building RAG and agentic AI applications with streamlit, gradio, or similar frameworks.
  • Experience in containerization and orchestration (Docker, Kubernetes).
  • Exposure to cloud platforms (AWS, GCP) for ML model deployment.

#LI-SP1

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19d

SME - Must Be US Citizen with Active Secret Cleaance

EDC ConsultingLaurel, MD, Remote
ML

EDC Consulting is hiring a Remote SME - Must Be US Citizen with Active Secret Cleaance

Job Description

MUST Be A US Citizen with Active Secret Clearance!

Hybrid Remote - Washington, DC Metro Area, for periodic and possible last minute meetings.

We Are The Employer!

  • Prepare an installation package of a modified RATE system that is capable of running within an IL5 environment to accommodate receipt, processing and storage of Controlled Unclassified Information (CUI).
  • Showcase the technical feasibility of deploying RATE applications within IL5 environments by installing it and running it on a target IL5 environment and using raw physiological measurement data from wearables in a simulation test harness.
  • Install, Test and IVV RATE IL5 Software and demonstrate a RATE installation in an IL5 computing environment with Controlled Unclassified Information (CUI)
     

Qualifications

REQUIRED QUALIFICATIONS: 
Recent hands on experience with the above listed skills, including IL5, Wearable Technology, Artifical Intelligence, (i.e. ML, DL, etc.), Internet of Things, (i.e. IoT), on/in an Enterprise DoD systems, as Software Engineer, Solution Engineer, Test Engineer or Solution Architect, with prefered Rapid Assessment of Threat Exposure (RATE) expereince.
REQUIRED EDUCATION: BS/BA STEM Degree or Related Fields.
REQUIRED CLEARANCE: Active Secret.

Hybrid Remote - Washington, DC Metro Area, for periodic and possible last minute meetings.

We Are The Employer!

#HiringImmediately #IL5 #Job #WearableTechnologiy #Artifical Intelligence #DoD #ML #DL #IoT #InternetOfThings WeAreTheEmployer #LongTermWork #IL5 #CSP #CUI #RapidAssessmentOfThreatExposure #RATE #Employmnet #Career
 

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20d

Machine Learning Team Lead (Product & API)

LanguageWirePortugal, Remote
ML ● DevOPS ● S3 ● agile ● tableau ● terraform ● Design ● azure ● api ● qa ● git ● docker ● elasticsearch ● kubernetes ● jenkins ● python ● AWS ● redux ● Node.js

LanguageWire is hiring a Remote Machine Learning Team Lead (Product & API)

LanguageWire is seeking an experienced Machine Learning Team Lead with expertise in product and API development to spearhead our AI/NLP initiatives. Does this role seem interesting? Yes? You should definitely read on!

The role you’ll play

In this critical role, the successful candidate will leverage advanced AI and NLP technologies to enhance our product offerings and expand our capabilities, both for internal and external use. The Team Lead will play a key role in ensuring that our AI innovations are integrated into intuitive products and made available through reliable and robust APIs, significantly benefiting our customers. As a Tech Team Lead, you will provide technical leadership and be responsible for adjacent services and developing the next generation of neural models for machine translation and content generation. 

The team you’ll be a part of

The successful candidate will join a dynamic, cross-functional team at the forefront of AI and NLP technology, dedicated to revolutionizing language services. As a ML Tech Team Lead, you will collaborate closely with Full-Stack Engineers, QA Engineers, Machine Learning Engineers, Data Engineers and report to the Director of Machine Learning.

If you want to make a difference, make it with us by…

  • Oversee a talented team of 5-6 engineers with expertise in machine learning, NLP, full-stack development, AI applications, quality assurance, and product management.  
  • You will steer the technical direction in AI and NLP, establish objectives for your team, foster their career advancement, offer mentorship, and guide them through resolving intricate challenges. Act as a growth catalyst for your team members, spread primarily across Copenhagen and Valencia. 
  • Be the technical authority and product visionary, ensuring our machine learning and AI capabilities are seamlessly integrated into products and exposed through powerful APIs. Take ownership of the AI services lifecycle within your team. Partake in customer support and actively contribute to documenting resolutions and problems. 
  • Advocate for the “you build it, you run it" philosophy to promote a culture of end-to-end ownership and continuous improvement.  
  • Apply a data-driven approach to decision-making, utilizing metrics and feedback to guide product development and API strategy. Guarantee that our machine translation and next gen AI services are not only innovative but also reliable, scalable, available, and speedily delivered to meet the demands of clients. 
  • In this pivotal role, you will lead the charge in engineering groundbreaking AI solutions, pushing the boundaries of what's possible in the language industry. Your mission will be to develop innovative next Gen AI products, transforming how languages are learned, processed, and understood on a global scale. 

In one year, you’ll know you were successful if…

  • You have successfully navigated the team through the challenges of integrating AI technologies into user-friendly products, as evidenced by positive feedback from internal and external stakeholders. You have established robust monitoring and prediction services that support the continuous improvement and scalability of our product offerings.
  • You have introduced innovative machine translation and content generation tools that have measurably improved efficiency and customer satisfaction.
  • You have cultivated a culture of excellence within your team, promoting collaboration, innovation, and professional growth, resulting in high team engagement and retention.

Desired experience and competencies

What does it take to work for LanguageWire?

What you’ll need to bring

  • Expert Knowledge in Python and especially using frameworks like Huggingface Transformers, TensorFlow or PyTorch, Scikit-learn.
  • Experience with neural models based on Transformer architectures.
  • Expert Knowledge in JavaScript/TypeScript for full-stack development and interaction with APIs on the front end. Frameworks like Node.js, Vue.js, Express.js.
  • API Development: RESTful API principles, understanding how to design stateless, secure, and scalable APIs.
  • Expertise in MLOps Tools - Docker: For containerizing applications and models.
  • Kubernetes: For orchestration of containers.
  • CI/CD Tools (e.g., Jenkins, GitLab CI, GitHub Actions): For continuous integration and deployment pipelines. Terraform (IaC).
  • MLflow or Kubeflow: For managing the machine learning lifecycle.
  • Cloud Platforms: Azure, AWS, Google Cloud
  • Data Management: SQL/NoSQL 
  • Data Lakes/ Data Warehousing: Solutions like Amazon S3, Redshift, or Google BigQuery. Apache Kafka or other streaming services for real-time data processing.
  • Redux or Context API: For state management in front-end applications.
  • Version Control and Collaboration: Git: For source code management. GitHub, Azure DevOps: For collaborative development and code reviews.
  • Monitoring and Logging: Prometheus, Grafana, or ELK Stack (Elasticsearch, Logstash, Kibana) for monitoring applications and infrastructure.
  • Security: OAuth, JWT, and other authentication/authorization protocols. Best practices are adopted.
  • Data Visualization and BI Tools: Looker, Tableau, Power BI or similar tools for data analysis and visualization.
  • Agile methodologies and understanding of design workflows and software architecture.

This will make you stand out

  • Experience with LLMs and tuning techniques like QLORA, DPO etc is a plus.
  • Staying updated with the latest developments in the AI community.

Our perks

  • Enjoy flat hierarchies, responsibility and freedom, direct feedback, and room to stand up for your own ideas
  • Internal development opportunities, ongoing support from your People Partner, and an inclusive and fun company culture
  • International company with over 400 employees. Offices in Copenhagen, Aarhus, Stockholm, Varberg, London, Leuven, Lille, Paris, Munich, Hamburg, Zurich, Kiev, Gdansk, Atlanta, Finland and Valencia

About LanguageWire

At LanguageWire, we want to wire the world together with language. Why? Because we want to help people & businesses simplify communication. We are fueled by the most advanced technology (AI) and our goal is to make customer's lives easier by simplifying their communication with any audience across the globe.

Our values drive our behavior

We are curious. We are trustworthy. We are caring. We are ambitious.

At LanguageWire, we are curious and intrigued by what we don’t understand. We believe relationships are based on honesty and responsibility, and being trustworthy reinforces an open, humble, and honest way of communicating. We are caring and respect each other personally and professionally. We encourage authentic collaboration, invite feedback and a positive social environment. Our desire to learn, build, and share knowledge is a natural part of our corporate culture.

Working at LanguageWire — why we like it: 

“We believe that we can wire the world together with language. It drives us to think big, follow ambitious goals, and get better every day. By embracing and solving the most exciting and impactful challenges, we help people to understand each other better and to bring the world closer together.”

(Waldemar, Senior Director of Product Management, Valencia)

Yes, to diversity, equity & inclusion

In LanguageWire, we believe diversity in gender, age, background, and culture is essential for our growth. Therefore, we are committed to creating a culture that incorporates diverse perspectives and expertise in our everyday work.

LanguageWire’s recruitment process is designed to be transparent and fair for all candidates. We encourage candidates of all backgrounds to apply, and we ensure that candidates are provided with an equal opportunity to demonstrate their competencies and skills.

Want to know more?

We can’t wait to meet you! So, why wait 'til tomorrow? Apply today!

If you want to know more about LanguageWire, we encourage you to visit our website!

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20d

Enrichment Operations Analyst II

InstacartCanada - Remote (ON, AB or BC Only)
ML ● sql ● qa

Instacart is hiring a Remote Enrichment Operations Analyst II

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

 

About the Role - In this role, you will partner closely with Catalog Product, ML, and Engineering and play a critical role in driving the “how” and execution of how we tackle Catalog goals on creating, scaling, and maintaining the accuracy of new catalog attributes (e.g. gluten-free) that are used to power experiences on the app (e.g. search filters, badges, ML models). This includes enabling our ML model pipelines used to generate data at scale through building LLM prompts, creating ground truth datasets, and evaluating the performance of ML models. You will use SQL to pull and analyze data in your day-to-day work. You will also be responsible for managing 3rd party vendors that provide catalog product data that is surfaced to customers. 

 

About the Team -The Enrichment Operations team sits within the Catalog Engineering organization. We partner with Catalog Product, Engineering, Data Science, and Machine Learning (ML) to create and measure the quality of new catalog data/attributes that are used to power customer experiences in all Instacart products (e.g., Marketplace, Caper, Storefront Pro). The catalog/product data are the foundation upon which customer experiences are built.

 

About the Job 

AI Enablement (40%)

    • Scale attribute data generation using ML. Collaborate with ML on attribute ML models and human-in-the-loop methodologies. You are responsible for building ground truth datasets, advising ML on what input data should be used, and building LLM prompts. You will also develop sourcing strategies on the best way to generate data for new attributes to power customer experiences. This requires thinking from both a technical/data point of view while also understanding how data should be presented to a customer on the app.
    • Evaluate model outputs (including criteria to decide on accuracy of outputs) to provide feedback to the ML team to improve models. This may involve reviewing and leading work from QA team members.

Driving Cross-Functional Projects (40%)

    • Collaborate with Product, Engineering, Data Science, and ML to execute on projects that roll up to catalog OKRs (e.g., increase attribute coverage).
    • Independently lead key projects and manage against catalog OKRs. This involves collaborating and aligning with a cross-functional team of technical and non-technical stakeholders to achieve the goals of a project within a defined timeframe. 

Analytics and Vendor Management (20%)

    • Manage relationships and data pipelines with 3rd party vendors and data providers that provide catalog data to Instacart. Use SQL to analyze data and present data-driven business recommendations. 

 

About You

Minimum Qualifications

  • 1-3 years of working experience in roles that involved project management, project delivery, stakeholder management, strategy and operations, and/or data analysis/analytics.
  • Bachelor’s degree in business, commerce, economics, IT management, or related field.
  • Experience leading cross-functional projects end-to-end, with strong communication and stakeholder management skills. Experience working closely with Product, Engineering, ML, and DS teams preferred. Proven track record of strong ownership and bias to action to drive key business results.
  • Ability to blend business acumen with technical understanding to drive operational strategy and execution.
  • Intermediate knowledge in Excel, Google Sheets, and SQL. Experience using analytical skills to pull, analyze, and make data-driven business decisions.

 

Preferred Qualifications

  • Experience working with databases that contain large volumes of structured and unstructured data. Working knowledge of APIs and data integrations.
  • Experience working at an e-commerce, retail, or technology company.
  • Experience crafting LLM prompts.

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta and British Columbia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$80,000—$89,000 CAD

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21d

Senior Machine Learning Engineer

TruebillRemote, Washington, District of Columbia, United States
ML ● Design ● backend

Truebill is hiring a Remote Senior Machine Learning Engineer

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Machine Learning Engineers on the Data team at Rocket Money further our mission by building data products that deepen customer relationships with our many financial products. Our team of data scientists and machine learning engineers builds machine learning driven product experiences that identify and engage customers who would benefit from mortgage and personal loan products. We integrate with product and engineering teams to understand, explain, predict, and intervene to improve product retention. Machine learning engineers also support growth operations by designing ML driven personalization experiences in onboarding. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML powered user experiences, and can deliver solutions within engineering teams.

ABOUT THE ROLE ????‍♀️

In this role, you will focus on the following types of problems:

  • Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams. Use your expertise in ML system and model design to delight our customers with new user experiences. Work with engineering teams to build software to deliver new experiences to Rocket Money’s customers.
  • Optimize to continuous product feedback loops - you understand that machine learning is the practice of a continuous lifecycle of measurement, analysis, modeling, and hypothesis testing. You understand how to build, test, and deliver user-facing machine learning products in an incremental way.
  • Help develop the next version of Autopilot and Budgets. Ensure members have money in the right place at the right time for their near and long term goals. Warn them when they do not.
  • Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models.
  • Design and conduct experiments to estimate the impact of new ml driven products, customer messaging, and marketing. You know how to use experimentation to build the strategic case for more tailored ML product experiences.
  • Build anomaly detection systems, ensuring that our transaction categorization systems produce accurate data for our users and tracking when they don’t.

Regardless of the challenges you dive into, you will:

  • Work within cross-functional teams to build new products and services, especially with engineering.
  • Become a subject matter expert in your area of specialty - making key decisions on both implementation and scope while balancing technical and business goals.
  • Become an expert on our members. Understand their needs and financial goals. Work with product to define strategy and engineering teams to create software and build features that help our members build better financial lives.
  • Design ML system and model architecture to aid product delivery, both internal and external.
  • Be a steward of good instrumentation and experimental design - designing systems to measure the impact of ML powered products in a way that is measurable, testable, repeatable, and robust.
  • Extend internal tooling that improves the data science and ML product implementation - help accelerate the work of others on engineering and data teams.
  • Participate in code reviews, contribute to product and technical design, and maintain a high degree of quality in our production data.

ABOUT YOU ????

  • You are a team player - collaboration and communication are a first instinct and key tool for getting stuff done. You continually seek feedback on your work and err on the side of over communicating.
  • You care about products, not publications. Solving user problems is of key importance for you, not necessarily finding esoteric problems. We love recovering academics that aren’t looking in the rearview.
  • You can collaborate with stakeholders to define tasks, defining cross-functional work independently to achieve strategic goals
  • You know how to deliver products incrementally - doing the simple thing first, finding and measuring signal, and iterating to build better user experiences.
  • Excellent writing, presentation, and communication skills. Documenting, soliciting feedback, and securing alignment among collaborators is second nature.
  • You have strong software engineering skills. You can contribute up and down the application stack to deliver data products to users. Evidenced experience working with engineering teams to build software is an absolute must.
  • You have a lot of tools in your methodological tool belt and are prolific in testing multiple approaches.
  • You have 3+ years of professional experience working in a data science or machine learning engineering capacity. You know your way around databases, data warehouses, models, and how to engineer backend machine learning and data science systems. Bonus points if you have experience integrating data products into application front ends. You are equally adept at hacking together proof of concepts and working within engineering teams to build scalable, durable systems.
  • You care just as much about why you're solving a problem as the solution. You always want a deep understanding of context and business impact. You are an ML engineer first but an expert data scientist and analyst when necessary.
  • You want to continue to grow and learn. You are excited by hard problems and big challenges.
  • Experience in fintech, banking, or finance is a plus.

WE OFFER ????

  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)

Additional information: Salary range of $180,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

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21d

Principal Product Manager, Tax Credits

GustoDenver, CO;San Francisco, CA;New York, NY;Atlanta, GA;Austin, TX;Chicago, IL;Los Angeles, CA;Miami, FL;Seattle, WA;Toronto, Ontario, CAN - Remote
ML ● Design

Gusto is hiring a Remote Principal Product Manager, Tax Credits

 

About Gusto

Gusto is a modern, online people platform that helps small businesses take care of their teams. On top of full-service payroll, Gusto offers health insurance, 401(k)s, expert HR, and team management tools. Today, Gusto offices in Denver, San Francisco, and New York serve more than 300,000 businesses nationwide.

Our mission is to create a world where work empowers a better life, and it starts right here at Gusto. That’s why we’re committed to building a collaborative and inclusive workplace, both physically and virtually. Learn more about ourTotal Rewards philosophy. 

By the Numbers

  • Named #1 best software for small businessof 2024 by G2
  • 2,700+ employees in the United States, Canada, Mexico, and Turkiye and growing
  • Over $500M in annual revenue The SMB market is large (and growing!) with huge opportunities for Gusto to make an incredible impact for SMBs
    • There are 6.2M employers in the US, 98% have fewer than 100 employees (1)
    • 550,000 new businesses are created each year in the US(1) 

What Product Management is like at Gusto:

  • We’re looking for high-autonomy, entrepreneurial Product Managers to come build high-impact solutions for small businesses and their employees. We believe in high-ownership Product Managers who operate like business owners - owning an entire roadmap end to end and shipping product all the way from strategy through to the nitty gritty details (some describe this kind of role as a “GM” type role)
  • Our Product team is lean, which means you’ll have a high degree of impact and ownership
  • We’re here to serve small and medium businesses. Gusto has a strong mission-driven culture, and we care deeply about lifting up these business owners 

About the Team:

The Tax Credits team is a “mini startup” within Gusto, and an incredibly talented group of people that have a mix of deep customer empathy, domain expertise, and a strong desire to innovate. Our mission is to grow and add value to our customer base, and continually test and refine tools designed to help these customers unlock savings through tax credits and grants. If you enjoy uncovering & solving big problems, driving lean experimentation, building 0 to 1 product experiences, and making a big impact on the lives of small business owners, we’d love to hear from you.

Here’s what you’ll do day-to-day:

  • Ownership: Spearhead the development of a product & business aimed at unlocking value for existing Gusto customers as well as expanding Gusto’s customer base to new segments
  • North Star: Unlocking savings for SMBs through tax credits and grants
  • Collaborate: Partner closely with Engineering, Design, Ops and Data Science on all stages of the product development process, and partner with the GM and Revenue team to grow the business and optimize its unit economics
  • Lead product discovery to uncover and deeply understand customer problems and test risky assumptions
  • Run lean experiments and A/B tests to quickly prove out hypotheses and test new concepts. Always looking for ways to get stronger signal on new ideas
    • Rapidly execute and iterate with an emphasis on user delight, impact, and learning. Regularly take risks and make calculated tradeoffs
  • Create a long-term vision and strategy that defines the big problems we can solve well with durable competitive advantage

Here’s what we're looking for:

  • 8+ years of hands-on Product Management experience 
  • Proven track record of building 0 to 1 products with nice to haves in:
    • Building 0 to 1 products in highly regulated categories
    • Experience building personalized products or optimized workflows using Gen AI/ ML
  • Strong product discovery skills with the ability to navigate a high degree of ambiguity
  • The intangibles: natural curiosity, grit, customer obsession, and attention to detail
  • The ability to tell a compelling story that drives alignment and inspires action
  • Strong collaboration skills; ability to quickly build trust quickly
  • A passion for helping small businesses

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $181,000/yr to $223,000/yr in Denver & most major metro locations, and $212,000/yr to $262,000 for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

Where do PMs at Gusto work?

We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. We are actively hiring for the following Centers of Gravity: Toronto, Canada, Atlanta, GA, Austin, TX, Chicago, IL, Denver, CO, Los Angeles, CA, Miami, FL, and Seattle, WA. Our open roles will specify on the careers page and in the job description where the position is eligible for work.

 (1)Business Applications with Planned Wages (www.census.gov)

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 daysper week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. 

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. 

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

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22d

Senior Software Engineer, Backend Microservices

ServiceNowSanta Clara, California, Remote
ML ● redis ● Design ● mongodb ● azure ● git ● docker ● elasticsearch ● postgresql ● MySQL ● css ● kubernetes ● python ● AWS ● javascript ● backend

ServiceNow is hiring a Remote Senior Software Engineer, Backend Microservices

Job Description

About Digital Technology

We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.

Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them. 

This opportunity is part of our Emerging Technology Group within Digital Technology. You will be responsible to drive the development of highly scalable backend services that will impact AI related products. As part of Digital Technology – you will be able to drive our customer zero strategy for ServiceNow product - we ensure the products works for us internally and delivers value as it gets in hands of our customers. With AI everywhere we are responsible for advance technology services which cuts across the enterprise like Search and Conversational Interfaces.

We are focused on accelerating innovations and developing new concepts, forward-thinking solutions and products leveraging ServiceNow’s Intelligent platform.

What our team values:

  • Being humble and having each other’s backs.
  • Learning new things and sharing expertise with each other—by answering a quick question on teams, pairing on a feature, or leading a lunch and learn session.
  • Producing high quality work, we’re proud of, and not taking shortcuts.
  • Having fun—we like to joke around, eat lunch together, and even hang outside of work.
  • Leaving work at work, maintaining a sustainable pace (no big bangs, few big pushes).

What you get to do in this role:

  • Design, implement, and maintain efficient, reusable, and reliable Python code.
  • Architect and develop scalable, secure, and high-performance AI-driven software solutions.
  • Integrate ML/AI capabilities into the ServiceNow platform.
  • Help evolve the MLOps process our team follows.
  • Lead code reviews, mentor junior engineers, and enforce best practices in coding, design, and architecture.
  • Collaborate with cross-functional teams including product managers, ML engineers to build and deploy high-quality features.
  • Work with cloud platforms (Azure, Databricks, GCP, AWS, etc.) to develop and deploy cloud-based solutions.
  • Identify and resolve software defects through debugging and troubleshooting.
  • Continuously improve existing codebases to increase maintainability, performance, and scalability.
  • Drive the technical direction of key projects and ensure alignment with overall business goals.
  • Ensure system security and data protection principles are embedded in solutions.
  • Stay up to date with new tools, libraries, and trends in the Python and software development ecosystems.

Qualifications

  • 5+ years of professional software development experience using Python.
  • Strong understanding of design patterns, integration patterns/practice, data modeling principles, and best practices
  • Experience with microservices architecture.
  • Expertise in building and optimizing scalable back-end systems and APIs.
  • Strong experience with web frameworks like Flask and FastAPI
  • Familiarity with asynchronous programming and frameworks (e.g., AsyncIO, Celery).
  • Solid understanding of relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB, Snowflake, Databricks, Redis, ElasticSearch, etc.).
  • Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud infrastructure (Azure, AWS, GCP, etc.).
  • Proficient understanding of version control tools (e.g., Git) and continuous integration/continuous deployment (CI/CD) pipelines.
  • Excellent problem-solving skills with a focus on performance tuning, scalability, and security.
  • Strong communication and collaboration skills.
  • Knowledge of machine learning frameworks or data science is a big plus.
  • Familiarity with front-end technologies (JavaScript, React, HTML, CSS) is a plus.

#DTjobs

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

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22d

Databricks

Software MindKraków, Poland, Remote
ML ● Design ● python ● AWS

Software Mind is hiring a Remote Databricks

Job Description

Project – the aim you’ll have

Our partner is a healthcare company that combines clinical research with clinical care to improve patient health outcomes. The company uses its unique technology and health algorithms to match patients with appropriate clinical trials, optimize study outcomes, and better support patients in their participation. The company has expertise in clinical research across gastroenterology, dermatology, urology, oncology, biomarkers, and metabolic disorders. Based in Nashville, Tennessee, the company employs over 100 people.Our customer also utilizes artificial intelligence and machine learning to analyze data and identify patterns that can help improve patient health outcomes.

Position – how you’ll contribute

  • Develop and maintain ML algorithms and workflows on Databricks to assess patient risk and screen and match patients for clinical trials based on historical health records.
  • Collaborate with clinical and technical teams to analyze user flows, optimize data integrations, and provide insights through complex data migration analysis.
  • Utilize AWS, Python, and data modeling techniques to ensure high-quality, scalable, and secure data solutions.
  • Generate impactful reports and dashboards to support clinical research insights and optimize patient matching.
  • Design and implement ETL processes for integrating with third-party applications, leveraging tools like Redox (preferred) for seamless EHR connectivity.

Qualifications

Expectations – the experience you need

  • Proven experience with Databricks and AWS environments.
  • Proficiency in Python and hands-on experience with data modeling and reporting tools.
  • Familiarity with EHR (Electronic Health Records) data, clinical workflows, and patient data privacy standards is beneficial.
  • Experience in data migration and third-party integrations, with familiarity with Redox being an advantage.

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23d

Machine Learning Engineer

Plum FintechAthens,Attica,Greece, Remote Hybrid
ML ● agile ● terraform ● airflow ● sql ● git ● python

Plum Fintech is hiring a Remote Machine Learning Engineer

At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their money. And now, the team is growing!

About the Role

We are looking for a talented and passionate Machine Learning Engineer to join our team and build the next generation of our real-time, data-driven applications. As a Machine Learning Engineer, you will provision and expand the infrastructure of ML and AI at Plum, whilst collaborating closely with Data Engineers and Data Scientists, who are currently managing numerous live production ML systems and delivering on a substantial roadmap. This traverses areas such as document processing automation, transaction fraud detection, marketing spend optimisation and customer retention.

What will you do

  • Collaborate with data scientists, data analysts and data engineers on production systems and applications focused on traditional ML, generative AI and MLOps
  • Transition ML models from experimental prototypes to production deployments that can handle high volumes of data in real-time, enabling us to make rapid decisions and provide immediate value to our users
  • Stay engaged with the latest advancements in data science and fintech, particularly in the areas of leveraging ML techniques to deliver business impact.
  • Contribute to the continuous development of our AI and ML Ops infrastructure, covering areas such as model deployment, continuous retraining, feature store, performance monitoring and drift detection.
  • Exercise software engineering best practices in the codebase, like version control and continuous integration, with an aim to ensure our models are not just effective, but also thoroughly tested, well-documented, and regularly maintained.
  • Promote a culture of mutual learning and growth, where teaching and learning from colleagues is encouraged. We highly value knowledge sharing and ongoing learning.

Who you are????

  • Strong foundations in data structures, data modelling (e.g. Airflow and dbt), software architecture, Python, SQL, machine learning frameworks (e.g. Keras, PyTorch), and libraries (e.g. scikit-learn).
  • Proven experience in developing, maintaining and deploying machine learning models for real-time applications, with a strong understanding of streaming data processing technologies and real-time inference frameworks in production environments
  • Strong understanding of ML applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting, experiment trackers (e.g. mlFlow) & orchestrators (Airflow, Kubeflow)
  • Experience in building and optimizing scalable machine learning infrastructure in a cloud setup. We use Google Cloud Platform and leverage services like BigQuery, Vertex AI, and Cloud Storage.
  • You have a solid understanding of how to measure the performance of ML models
  • Strong problem-solving skills, a critical and creative mindset, and a team-oriented approach with a focus on mentorship and knowledge sharing.

Nice to Have

  • Deep knowledge of math, probability, statistics and algorithms
  • Experienced with Large Language Models, Generative AI, Langchain, Transformer models
  • Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
  • Experience provisioning infrastructure components using Terraform, including virtual machines, storage, databases, and other necessary services

Plum's Perks

  • We're all in this together! Own part of the company through stock options ????
  • Annual training budget
  • Private Health & Life Insurance
  • Free Plum Premium subscription (normally £9.99 a month)
  • Free parking slots
  • 25 days holiday a year, excluding public holidays
  • Employee referral scheme up to €4000
  • Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in central Athens for optimal collaboration
  • 45 days work from anywhere
  • Team breakfast on Tuesdays and team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee
  • 1 day paid leave for volunteering, supporting you giving back to society
  • 2 weeks paid sabbatical after four years of service
  • Team trip to secret destinations once a year ✈️
  • Great office location in the heart of Athens (Syntagma square), with an amazing view!
  • A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

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23d

Machine Learning Engineer

Plum FintechNicosia,Cyprus, Remote Hybrid
ML ● agile ● terraform ● airflow ● sql ● git ● python

Plum Fintech is hiring a Remote Machine Learning Engineer

At Plum, we're on a mission to maximise wealth for all. We’re making saving money effortless and turning investing into something everyone can do.

Our journey began back in 2017, when we became one of the first to use artificial intelligence and automation to simplify personal finance. Fast forward to today, and we've already helped people save £2 billion across 10 European markets.

Named the UK's fastest-growing fintech in the Deloitte Technology Fast 50, our success is down to the passion and dedication of our diverse team. Based in our London, Athens and Nicosia offices, 170 talented people work together to empower people to do more with their mone. And now, the team is growing!

About the Role

We are looking for a talented and passionate Machine Learning Engineer to join our team and build the next generation of our real-time, data-driven applications. As a Machine Learning Engineer, you will provision and expand the infrastructure of ML and AI at Plum, whilst collaborating closely with Data Engineers and Data Scientists, who are currently managing numerous live production ML systems and delivering on a substantial roadmap. This traverses areas such as document processing automation, transaction fraud detection, marketing spend optimisation and customer retention.

What will you do

  • Collaborate with data scientists, data analysts and data engineers on production systems and applications focused on traditional ML, generative AI and MLOps
  • Transition ML models from experimental prototypes to production deployments that can handle high volumes of data in real-time, enabling us to make rapid decisions and provide immediate value to our users
  • Stay engaged with the latest advancements in data science and fintech, particularly in the areas of leveraging ML techniques to deliver business impact.
  • Contribute to the continuous development of our AI and ML Ops infrastructure, covering areas such as model deployment, continuous retraining, feature store, performance monitoring and drift detection.
  • Exercise software engineering best practices in the codebase, like version control and continuous integration, with an aim to ensure our models are not just effective, but also thoroughly tested, well-documented, and regularly maintained.
  • Promote a culture of mutual learning and growth, where teaching and learning from colleagues is encouraged. We highly value knowledge sharing and ongoing learning.

Who you are????

  • Strong foundations in data structures, data modelling (e.g. Airflow and dbt), software architecture, Python, SQL, machine learning frameworks (e.g. Keras, PyTorch), and libraries (e.g. scikit-learn).
  • Proven experience in developing, maintaining and deploying machine learning models for real-time applications, with a strong understanding of streaming data processing technologies and real-time inference frameworks in production environments
  • Strong understanding of ML applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting, experiment trackers (e.g. mlFlow) & orchestrators (Airflow, Kubeflow)
  • Experience in building and optimizing scalable machine learning infrastructure in a cloud setup. We use Google Cloud Platform and leverage services like BigQuery, Vertex AI, and Cloud Storage.
  • You have a solid understanding of how to measure the performance of ML models
  • Strong problem-solving skills, a critical and creative mindset, and a team-oriented approach with a focus on mentorship and knowledge sharing.

Nice to Have

  • Deep knowledge of math, probability, statistics and algorithms
  • Experienced with Large Language Models, Generative AI, Langchain, Transformer models
  • Understanding of the concepts of GPU-powered workloads, NVIDIA drivers, container runtimes
  • Experience provisioning infrastructure components using Terraform, including virtual machines, storage, databases, and other necessary services

Plum's Perks

  • We're all in this together! Own part of the company through stock options ????
  • Annual training budget
  • Private Life Insurance - Ethniki Asfalistiki
  • Provident Fund - Ancoria Bank
  • Free Plum Premium subscription (normally £9.99 a month).
  • Free parking slots
  • 25 days holiday a year, excluding public holidays
  • Employee referral scheme up to €4000
  • Flexible approach to remote working, though we encourage at least 2-3 days a week in our beautiful office in Nicosia for optimal collaboration.
  • 45 days work from anywhere
  • Team lunch on Thursdays in the office, as well as a plentiful supply of fruit, snacks and coffee.
  • 1 day paid leave for volunteering, supporting you giving back to society.
  • 2 weeks paid sabbatical after four years of service.
  • Team trip to secret destinations once a year ✈️
  • A vibe that’s ????????????

If you think this sounds like a bit of you then don’t hesitate to get in touch!

Thanks,

Plum Τeam ????

*Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.Plum's Perks

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23d

Senior Machine Learning Engineer

ML ● Full Time ● Design ● api ● python ● AWS ● backend

IntelliPro Group Inc. is hiring a Remote Senior Machine Learning Engineer

Senior Machine Learning Engineer - IntelliPro Group Inc. - Career PageIntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not disc

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23d

Senior Data Engineer

OuraHelsinki,Uusimaa,Finland, Remote Hybrid
ML ● S3 ● agile ● sql ● git ● docker ● typescript ● python ● AWS

Oura is hiring a Remote Senior Data Engineer

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped 2.5 million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

We are looking for a Senior Software Engineer to join our Data & ML Platform team. 
You’ll join a platform team focused on two major internal systems that support many internal Oura users and several production features:

  • Oura’s Datalake
  • Cloud MLOps systems

Concretely, you will be:

  • Building, operating and improving systems to move, process and store large amounts of data (Terabyte-Petabyte scale) leveraging tools such as: AWS Kinesis, S3, Spark / Glue, Athena, dbt, iceberg, snowflake, docker, workflow engines, and more.
  • Building components that support the handling of datasets, training, testing and release of new on-device and cloud-based ML models.
  • Independently collaborating with different stakeholders including Data Scientists, Testing, Firmware, Hardware to define and implement improvements and new functionality.
  • Supporting internal datalake consumers in their day-to-day work.
  • Writing python code (mostly) and some typescript code.

We hope that following can be said about you:

  • 4+ years of experience developing and operating production systems.
  • Experience running, monitoring and debugging production systems at scale on a public cloud. We rely on AWS but experience with other cloud platforms counts too.
  • Experience with programming languages such as Python and Typescript. Willingness to code in Python is required since a large part of our codebase is Python.
  • Good architectural understanding of event driven architectures, workflow engines, database and datawarehouse systems.
  • Enjoy writing maintainable and well-tested code
  • Follow common practices: version control (git), issue tracking, unit testing and agile development processes
  • Generalist and pragmatic approach to development. Knowledge of various programming languages is a plus.
  • Ability to build infrastructure and components following best practices such as CI/CD and infrastructure as code.
  • Broad knowledge of software fundamentals, databases, warehouses and system design.
  • You can write well-structured, testable and high-performance code.
  • You are familiar with some of the following:
    • Workflow engines, Stream processing, Spark, Athena, SQL, dbt
  • You are self-motivated, proactive, and bring energy to the teams and projects you work on.
  • You are driven by value creation and overall impact.

Not required but potentially relevant:

  • Knowledge of ML, particularly relevant if with PyTorch.

As a company we are focused on improving the way we live our lives. From the people who use our product to the team behind it, we work to empower every person to own their inner potential.

Location

In this role you can work remotely in Finland as well as from our easy-to-reach Helsinki or Oulu offices.

  • If working remotely, availability to occasionally travel to the office is expected (for example for workshops and team gatherings)

Benefits

  • Competitive Salary
  • Lunch benefit
  • Wellness benefit
  • Flexible working hours
  • Collaborative, smart teammates
  • An Oura ring of your own
  • Personal learning & development program
  • Wellness Time Off

If this sounds like the next step for you, please send us your application as soon as possible, but by November 17th the latest.

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, socioeconomic status, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

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24d

Full-Stack Software Engineer

ExperianHeredia, Costa Rica, Remote
ML ● Sales ● tableau ● sql ● Design ● azure ● api ● css ● angular ● python ● AWS ● javascript

Experian is hiring a Remote Full-Stack Software Engineer

Job Description

Experian is looking for an experienced Full-Stack Software Developer to support our growing Experian Housing and Verification Business. You will improve the development of Mortgage Capital Market solutions. You will design, implement, and automate data and platform solutions, and deploying machine learning models for both client. You will work with very complex and different data sets such as mortgage loan-level data, Residential Mortgage-Backed Securities data, Climate Risk and economic datasets to develop solutions across the mortgage lifecycle, including servicing, risk management, and capital markets.

Main Responsibilities:

  • Understand the analytic and product needs of the mortgage servicing and capital markets industry through interactions with internal product management, sales leaders, clients, and partners.
  • Work with the product team to understand the customer problem, requirements and brainstorm on solution
  • Design cost-effective solutions and create an incremental delivery plan
  • Support analytical projects from solution design to implementation, ensuring data integrity and automation.
  • Architect and build data pipelines and platform design to help deploy data solutions from back-end databases and data lakes to front-end platform UI.
  • Develop and maintain data pipeline infrastructure and front-end solutions.
  • Experience approaching a problem from different angles, analyzing pros and cons of different solutions and data products and services, while enhancing current processes and offerings.
  • Develop dashboards and reports using data visualization tools.
  • Communicate analysis results to internal users through presentations.
  • Evaluate new data sources and apply machine learning, deep learning, data mining, and text mining techniques to uncover data value.
  • Collaborate with a team of consultants, statisticians, analysts, and project managers.
  • Manage project queues and develop streamlined workflows with teams.

Qualifications

  • Advanced degree in a related quantitative field (Data Science, Computer Science, Math, Statistics, Engineering, Physics, or Economics).
  • Basic experience with API services (Restful) for data ingestion.
  • Fundamental experience with Large Language Models and GenAI for augmenting data solutions.
  • 5+ years of experience in analytics in financial services and/or the mortgage industry.
  • Advanced experience with Python API (PySpark), SQL, scripting languages (e.g., Python), and familiarity with statistical/mathematical programming languages (e.g., R, SAS).
  • Experience with front-end technologies such as HTML, CSS, JavaScript, and modern frameworks like React, Angular, or Vue.js.
  • Experience in cloud-based development environments and automation tools such as AWS and Airflow.
  • Background in ML Ops and end-to-end modeling platforms (e.g., AWS Sagemaker, Google AI Platform, Azure ML).
  • Experience with data visualization and dashboarding tools such as Tableau (preferred).
  • Expertise in statistical analysis, machine learning techniques, predictive modeling, and data mining.
  • Experience communicating updates and resolutions to customers and other partners to both technical and non-technical audiences.

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26d

Senior Data Scientist (Platform)

AgeroRemote
ML ● Master’s Degree ● airflow ● sql ● B2B ● c++ ● python ● AWS

Agero is hiring a Remote Senior Data Scientist (Platform)

About Agero:

Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading dispatch management platform powered by Swoop; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually. Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.agero.com/.

Position Summary:

This position is focused on driving innovation in the core business, including but not limited to, predicting operations performance, short-term forecasting, improving dispatching efficacy, simulation and analyzing data from our network of roadside assistance service providers and extensive call-center operations. An ideal candidate would assist stakeholders in understanding and making use of insights gained from statistical analyses and building predictive models. The platform machine learning team is a highly collaborative cross-functional team with Machine Learning engineers, data scientists, software engineers and product management, working together to power the next wave of ML-driven platform enhancements.

Essential Functions:

  • Participate in end-to-end data science projects from problem definition and data exploration to result validation and working with engineers to put models in production.
  • Communicate research results effectively in written and spoken forms to various audiences including product management, engineering and executives.
  • Research and experiment with Agero's extensive datasets to gain new insights and drive innovation.

Possible Projects (within the first 6-12 months):

  • Conduct analysis to help optimize the performance of our dispatching operations.
  • Predictive modeling of job performance indicators to help improve customer satisfaction.
  • Spatial analysis of our service jobs, leveraging weather and other real-time information to assist our operations.
  • Develop ETA prediction models, employing data fusion techniques to improve accuracy.

Requirements:

Education/Experience

This position requires 5+ years of equivalent experience. This experience could come from several paths: e.g., a Ph.D. in a technical field (physical science, engineering, mathematics, computer science, operations research, management science), or a Master’s degree in a technical field and 3+ years relevant experience, or a Bachelor’s degree in a technical field and 5+ years relevant experience.

Skills

  • Statistics and data exploration, knowledge of EDA best practices
  • Advanced SQL experience, experience with Snowflake a plus
  • Experience with A/B testing: designing, sizing and post-analysis
  • Machine Learning with tabular data: knowledge of modeling with tree-based models like XGBoost
  • Strong analytical coding skills in Python, proficient with Python data stack (Pandas, Numpy, Scipy, Matplotlib, PyTorch)
  • Good communication skills both in written (technical documents, Python notebooks) and spoken (meetings, presentations) forms
  • Willing and able to learn and meet business needs, understanding the underlying context
  • Independent, self-organizing, and able to prioritize multiple complex assignments

Nice to Haves

  • Experience running jobs on Airflow or similar orchestrators
  • Experience with cloud computing (ideally AWS)
  • Experience with forecasting methods and libraries (e.g., Prophet)
  • Experience with PyMC3 or PyStan is a plus
  • Experience with Geospatial data is a plus

Hiring In:

  • United States:  AZ, FL, GA, NH, IL, KY, MA, MI, NC, NM, TN, VA, CA
  • Canada: Province of Ontario
  • #LI-REMOTE

D, E & I Mission & Culture at Agero:

We are all Change Drivers at Agero. Each day, we speak to thousands of drivers and tow professionals across one of the most diverse countries in the world. Our mission to safeguard drivers on the road, strengthen our clients’ relationships with their drivers, and support the communities we live and work in unites us together as one force driving positive change.

The road to positive change starts inside Agero. In celebrating each other’s differences, we lift each other up and create space for innovation and community. Bringing our whole selves to work powers our commitment, drive, agility, and courage - ensuring we are not only changing the landscape of the driver services industry, we also are making a difference in the lives of our customers with each call, chat, and rescue.

THIS DESCRIPTION IS NOT INTENDED TO BE A COMPLETE STATEMENT OF JOB CONTENT, RATHER TO ACT AS A GUIDE TO THE ESSENTIAL FUNCTIONS PERFORMED. MANAGEMENT RETAINS THE DISCRETION TO ADD TO OR CHANGE THE DUTIES OF THE POSITION AT ANY TIME.

To review Agero's privacy policy click the link:https://www.agero.com/privacy.

***Disclaimer:Agero is committed to creating a diverse and inclusive environment and encourages applications from all qualified candidates. Accommodation is available. Additionally, we offer accommodation for applicants with disabilities in our recruitment processes. If you require accommodation during the recruitment process, please contactrecruiting@agero.com.

***Agero communicates with candidates via text for matters related to submitted applications, questions, and availability for interviews. If you prefer not to receive texts, you can contact Agero's recruiting team directly at recruiting@agero.com.

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26d

Applied Research Scientist PhD Intern (Summer 2025)

GrammarlyUnited States; Hybrid
ML ● remote-first ● Design ● c++ ● python

Grammarly is hiring a Remote Applied Research Scientist PhD Intern (Summer 2025)

Grammarly is excited to offer aremote-first hybrid working model. Grammarly team members in this role must be based in the United States, and, depending on business needs, they must be able to meet in person for collaboration weeks during the internship, traveling if necessary to the hub(s) where their team is based.

This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The opportunity 

To achieve our ambitious goals, we’re looking for motivated PhD interns to join our Strategic Research team for three months in the summer of 2025. ​​The Strategic Research team develops novel AI algorithms bespoke to Grammarly's product offerings, informs critical decisions, explores novel research spaces, uncovers new capabilities, and paves the way for new AI-powered features. The team collaborates with industry and academia to advance the company's research and development efforts. We seek students who, ideally, are nearing the completion of their PhD and have a background in natural language processing, machine learning, and deep learning. 

This intern will contribute to multiple challenging problems, including writing assistance, controllable text generation, summarization, personalization, responsible AI, and many others. Our Research team actively publishes in leading journals and participates in conferences, all while creating the next generation of features and product offerings for tens of millions of daily active users. 

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As an Applied Research Scientist PhD Intern, you’ll work with our research scientists, engineers, and linguists. Most of the problems we’re tackling haven’t yet been solved elsewhere, providing the opportunity for creativity and innovative problem-solving. In this role, you will apply your knowledge and learn new skills to improve our writing assistance systems. You will conduct foundational, exploratory research, pushing the field's boundaries and powering the next generation of writing assistance tools.

In this role, you will:

  • Work alongside a group of top-notch researchers to design and implement SoTA DL and NLP algorithms to solve challenging research problems that are the core of  Grammarly’s AI features.
  • Produce sound experimental results to enable decision-making as we iterate on projects.
  • Be results-oriented in the face of ambiguous problems and uncertain outcomes.
  • Contribute to the broader research community by publishing research papers in machine learning, natural language processing, and related areas.

Qualifications

  • Is currently enrolled in a PhD.
  • Has solid theoretical and practical knowledge of machine learning, with a focus on natural language processing. 
  • Has experience developing novel deep learning algorithms and training LLMs.
  • Has a proven track record in independently conducting SoTA AI research, evidenced by publishing at top-tiered conferences.
  • Is proficient with Python and familiar with ML frameworks and tools, such as PyTorch, JAX, HuggingFace, and Langchain.
  • Is passionate about contributing to AI research breakthroughs that can improve the communication for everyone.
  • Can solve large, complex problems with multiple stakeholders and no obvious solutions.
  • Takes the initiative and drives results.
  • Applies creativity to solve problems that haven’t been solved before.
  • Follows the data ruthlessly, looking for evidence to disconfirm hypotheses and changing perspectives when the data indicates.
  • Is available for the entire duration of a twelve-week program. 
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
  • Can collaborate in person for 2 weeks during the summer, traveling if necessary to our US hubs. 

Compensation

The expected pay for this position is $74.00 - $83.00 USD/hour and may be modified in the future. 

We encourage you to apply

At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US).

#NA

#US

#LI-Hybrid

 

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