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

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

About the Role:

With such a large catalog of content, data and machine learning are fundamental to Tubi's success, and Tubi's Data Platform is the cornerstone of all data and ML use. At Tubi, you will join a stellar team of engineers with a passion for solving the most challenging problems using cutting-edge technology. In this Lead Data Engineering role, you will be expected to be a hands-on leader, leading by example as you and your team build out real-time systems to handle data at massive scale. You will enable machine learning engineers to iterate and experiment faster than ever before. You will help data scientists take ideas to production in days or weeks, not months or years. And you will build tools to enable data analysis and modeling for even the least tech-savvy colleagues. In short, you will enable Tubi to be truly data-driven.

Responsibilities: 

• Handle the collection and processing of large scale raw data.
• Building low latency and low maintenance data infrastructure that powers the whole company
• Develop and enhance our analytics pipeline by creating new tools and solutions to facilitate intuitive data consumption for stakeholders
• Constructs and improves infrastructure for data extraction, transformation, loading and cleaning from diverse sources using API’s, SQL and AWS technologies.
• Improving data quality by building tools, processes and pipelines to enforce, check and manage data quality at a large scale.
• Implement CI/CD pipelines for data operations ensuring efficient and smooth deployment of data models and applications.
• Address ad hoc data requests and core pipeline tasks

Your Background:

• 5+ years of experience building scalable batch and streaming data pipelines (Spark or Flink)
• 3+ years of experience designing and implementing pipelines for ETL and cleaning of data from a wide variety of sources using API’s, SQL, Spark and AWS technologies.
• Greenfield data warehouse modeling experience
• Strong knowledge of Streaming, distributed databases, and cloud storage (e.g., S3).
• Strong experience in JVM language (Scala is not required, but preferred)
• Prior experience with Kafka, Kinesis, or equivalent.

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA Compensation

$164,000 to $234,000 / year + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

$147,000 to $210,000 / year + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1

Title: Principal Machine Learning Engineer

This is a remote position for candidates based in the U.S.

About Sezzle:

Sezzle is a leading financial technology company dedicated to empowering consumers by offering flexible payment options and innovative shopping experiences. Our "buy now, pay later" platform enables millions of customers to make responsible purchases, manage payments, while driving growth for thousands of merchants. Additionally, Sezzle’s shopping solutions provide consumers with seamless, personalized experiences across a diverse range of retailers. We are committed to fostering financial inclusion and delivering cutting-edge technology to shape the future of commerce.

About the Role: 

We are seeking a highly-experienced engineer to join our core AI/ML team, responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

Responsibilities:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Ideal Skills & Experience:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

Equal Employment Opportunity: 

Sezzle Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, or any other legally protected status. Sezzle recognizes and values the importance of diversity and inclusion in enriching its employees' employment experience and supporting our mission.

#Li-Remote

About the Team:

The mission of our Data Team is to create a trusted data ecosystem that fuels innovation. We have projects underway and on our roadmap that touch upon each part of this mission: improving trust in our data through proactive data governance and a significant overhaul of our data warehouse; improving our data ecosystem through enhancing and potentially migrating to more effective data tools; and fueling innovation by building net-new data capabilities that unlock performance and customer experiences such as near real-time data processing. 

Our Data Team comprises ~80+ data practitioners with skills in data platform engineering, analytics engineering, data analysis and reporting, decision science, machine learning, ML Ops, and GenAI. This Technical Program Manager role would add a critical skill set in data product development, enabling our team to build more proactive data solutions to drive our business and create great customer experiences. 

About the Role:

As a Principal Technical Program Manager in the Data organization, you will lead high-impact, cross-functional programs that drive the strategic vision of Gusto’s Data initiatives. In this role, you will collaborate with key business and technical stakeholders to plan, execute, and deliver programs that optimize data systems and governance, advance Gusto analytics maturation and data product capabilities, and expedite the ability for Gusto leadership to make data-informed decisions. You will not only lead programs but also help shape data strategy, ready the organization for technical change, and ensure alignment across multiple cross-functional teams.

As a critical partner to senior leadership, you will leverage both your technical expertise and program management acumen to influence decisions that support the data needs of the entire organization. You will work cross-functionally with data practitioners, product managers, and business leaders across the organization to ensure data programs are executed with precision and clarity. Your ability to manage complexity, balance technical depth with business outcomes, and foster cross-team collaboration will set you apart as a leader in this role.

By joining the Data Leadership team, you will play a key role in the overall data strategy at Gusto, leading efforts that impact data architecture, engineering efficiency, and product delivery. You will focus on bringing organizational rigor to large-scale data initiatives, while supporting teams in solving complex challenges with clear roadmaps, priorities, and strategic guidance.

Here’s What You’ll Do Day-to-Day:

• Lead and drive complex, cross-functional data programs by developing and managing detailed program roadmaps, project plans, and timelines, ensuring alignment between data teams, product and engineering partners, and business stakeholders.
• Partner with the Head of Data and senior leadership to define the data strategy, align on priorities, and report on progress across the organization.
• Oversee the implementation of critical data initiatives such as Amplitude re-implementation, optimizing CDP platforms like Tealium, and improving tracking across web and mobile applications.
• Collaborate with product managers, data engineers, and analysts to deliver high-quality, scalable data assets that meet organizational and customer needs.
• Establish and continuously improve operational procedures to enhance team productivity, streamline communication, and drive program success.
• Serve as a thought partner for executives, providing strategic insights and recommendations for data programs, including resource allocation, risk management, and technical considerations.
• Design and implement frameworks that ensure readiness for data-driven changes across the business, building scalable solutions to prepare teams for regular data updates and launches.
• Build strong relationships with engineering, product, and business stakeholders to ensure seamless delivery of data programs that have wide-reaching impacts.
• Help build Data’s brand within Gusto by creating company-wide communication mechanisms around the work we do
• Potential opportunity to lead a small team of TPMs in the future.

Minimum Requirements:

• 8+ years of experience in technical program management at software companies with demonstrated success leading large-scale, cross-functional programs.
• Deep experience with data engineering processes, architecture, and workflows, including a strong understanding of data platforms, cloud infrastructures, and ETL pipelines.
• Expertise in Agile methodologies, with a solid background in managing scrum teams, product backlogs, and roadmaps using JIRA or similar tools.
• Proven ability to communicate effectively across both technical and non-technical audiences, including executive leadership.
• Strong analytical, problem-solving, and systems-thinking skills with the ability to evaluate complex issues and propose data-driven solutions.

Nice to have:

• Extensive experience implementing tracking solutions for web and mobile apps, as well as familiarity with customer data platforms (e.g., Tealium, Amplitude).
• 3-5 years of experience managing and mentoring teams, with a proven ability to lead and develop individual contributors.
• Proficiency in SQL, with hands-on experience in querying databases like Redshift, Snowflake, or similar platforms.

This role is ideal for a highly strategic, technically adept leader who can navigate the intersection of data, product, and business needs to drive organizational success.

At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity-based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings, please view our Total Rewards Approach page.

Our cash compensation amount for this role is targeted at $170,000-$210,000/year in Denver, Chicago, and Atlanta, $184,000/year - $228,000 in Los Angeles, and $199,000-$247,000/year for Seattle, San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

VP of Machine Learning & AI Solutions 

Remote Position for candidates based in Canada

About Sezzle:

Sezzle is a leading financial technology company dedicated to empowering consumers by offering flexible payment options and innovative shopping experiences. Our "buy now, pay later" platform enables millions of customers to make responsible purchases, manage payments, while driving growth for thousands of merchants. Additionally, Sezzle’s shopping solutions provide consumers with seamless, personalized experiences across a diverse range of retailers. We are committed to fostering financial inclusion and delivering cutting-edge technology to shape the future of commerce.

About the Role: 

We are seeking a visionary leader to join our core AI/ML team as the Vice President of AI/ML, responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will lead a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space, ensuring our AI-driven features are robust, efficient, and scalable as we continue to grow.

Responsibilities:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 9+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Ideal Skills & Experience:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

Equal Employment Opportunity: 

Sezzle Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, pregnancy, or any other legally protected status. Sezzle recognizes and values the importance of diversity and inclusion in enriching its employees' employment experience and supporting our mission.

Compensation: The compensation range for the role is $120,000 - $300,000 USD including base and variable. Our ranges are very broad to accommodate all types of candidates and encourage growth. Specific compensation offered to a candidate may be dependent on factors such as education, experience, qualifications, and alignment with market data. Exceptional candidates may receive salaries outside of the posted ranges.

#Li-remote

Clover is reinventing healthcare by working to keep people healthier.

We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare. Clover's engineering team is empathetic, caring, and supportive. We are deliberate and self-reflective about the team and culture that we are building, looking for engineers that are not only strong in their own aptitudes but care deeply about aiding in each other's growth.

We’re looking for a Machine Learning Engineer II to help us build a revolutionary new health care business. Counterpart Health uses Machine Learning (including NLP/LLMs) to leverage our data to help keep patients healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML infrastructure is central to working on our central mission, and has a direct impact on improving clinical care. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the ML capabilities of our Platform.

As a Machine Learning Engineer II, you will: 

• Create, debug, interpret and improve production ML models.
• Design, implement and validate pieces of our high-reliability, distributed platforms for ML.
• Build the tools and validation processes that help Counterpart translate insights into action at scale.
• Use existing commercial and open source tools to create a robust production platform.
• Work closely with Counterpart’s Data Science and Engineering teams to ensure that the ML platform is providing real value.
• Document, iterate, and provide tutorials to ensure Data Scientists and Engineers are able to use your tools easily.

Success in this role looks like:

• Within 90 days: Successfully able to deliver a well-scoped project that improves machine learning models or systems. 
• Within 6 months: Able to increasingly own larger pieces of the system and work more autonomously in places you have experience.
• In the future: Growing in ownership to increasingly large and complex pieces of our ML models and systems.

You will love this job if:

• You want to create impactwith your work by finding ML-driven insights in the data to unlock value and improve health outcomes for real people.
• You are comfortable acting autonomously on tasks in ambiguous and changing environments.
• You value collaboration and feedback. You can communicate technically in clear terms— to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
• You enjoy working in a fluid environment, defined by priorities that adapt to our larger goals. You can bring clarity to ambiguity on projects while remaining open-minded to new information that might change your mind.
• You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
• You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:

• You have 3+ years of experience in Machine Learning Engineering or related roles in technology enabled companies, healthcare experience preferred but not required. 
• You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments.
• You have a solid foundation in feature engineering, feature selection, and AI techniques.
• You have experience interpreting, modifying, and debugging the inputs and outputs of production ML models.
• You have both built and refactored parts of distributed systems, especially ML systems.

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
• Flexibility to work from home, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

#LI-REMOTE

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.

Overview

About the Role

We are hiring a Senior Product Manager to join our Sponsored Products Marketplace and Auction team. Sponsored products is our flagship search advertising product, and accounts for a meaningful portion of our advertising business today. We are looking for a Product Manager who can do it all, from leveraging strong design intuition to innovate on new consumer experiences to drive better engagement with sponsored products, to strong systems thinking and technical chops to comfortably lead improvements around auction dynamics and marketplace inventory to sustainably grow revenue. In this role, you will sit at the intersection of balancing and maximizing ecosystem value across instacart ads revenue, advertiser value, and consumer engagement.

About the Team

• You will be working with a talented team of frontend and ML/backend Engineers, Data Scientists, and Sales / Product Marketers to identify, incubate, and launch products.
• You will also closely partner with consumer Product Managers across search, storefront, checkout, and more and more to thoughtfully design, launch, and scale advertising solutions across the shopping journey.

About the Job 

• You will work with designers to innovate on the next frontier on Sponsored Products formats, user experience improvements, and new use cases to improve engagement, all while maintaining a high degree of consistency with the current organic experience.
• You will partner with highly technical ML engineers to innovate across highly technical areas, from building prediction models to identify what ads are most relevant to users in real-time based on their intent, behavior, and contextual signals, to designing the right auction mechanisms to ensure relevance for customers, healthy competition, and efficient allocation of ads, and building predictive pricing algorithms to better optimize across advertiser value and advertising revenue.
• You will work with cross functional partners across sales, insights, and business operations to identify and grow underpenetrated parts of the sponsored products business.

About You

Minimum Qualifications

• 3+ years in Product Management at a technology company
• Analytical background and a strong systems thinker
• Strong design intuition and ability solve for customer needs
• Strong cross functional collaborator, with a demonstrated ability to build trusted relationships and drive alignment and progress across teams
• Passion for building products that unlock value for multi sided marketplaces
• Thrive in fast-paced, quickly changing environment

Preferred Qualifications

• Prior experience building products for and interfacing with B2B stakeholders (advertising and consumer packaged goods a plus)
• Experience operating in marketplace, auction, and supply optimization ecosystems
• Ability to operate high stakes environments, leading communication, and driving alignment with executive leadership

Like we said,we areobsessed with our people. That’s whywe offera generous benefits package, professional growth, and valuable time to recharge. Learn more about our companyculture codeandbenefits. Plus, check out ouraccolades. 

Don’t meet every single requirement?   

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authenticculture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team 

What we want you to know: 

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. 

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems. 

Not ready to apply now?  

Sign up to join our newsletterhere. 

Overview

This role challenges traditional approaches to digital shopping by improving backend systems that power a seamless user journey. You will lead efforts to enhance content discoverability and purchase processes, helping to perfect the interaction between user desires and our vast product offerings.

About The Role

The Senior Software Engineer will focus on enhancing the user experience by developing robust backend architectures that support advanced recommendation and personalization systems. In close collaboration with ML engineers, product teams, and data scientists, you will lead the innovation of our backend services, enabling sophisticated, data-driven features that adapt to our customers' shopping behaviors.

About the Team

The Core Experience teams are dedicated to creating engaging and straightforward shopping experiences. You will be part of a team that is at the heart of product innovation, focusing on everything from the user interfaces to the underlying systems that support our web and mobile platforms. Our team’s work is guided by a data-driven methodology that ensures decisions are aligned with consumer needs, helping us move swiftly and efficiently in our development processes.

Overview of the Core Experiences teams that are currently hiring:

Search Team:

An engineer who will improve our search architecture, playing a key role in the crucial stage of the customer shopping journey. This position will reshape how customers search for retailers and products on Instacart. The role involves working closely with machine learning engineers, product managers, UX designers, and data scientists to transform Instacart's search experience, making every interaction both personalized and meaningful.

About the Job

Responsibilities:

• Design, build, and maintain high-quality backend applications.
• Lead the development of our backend system's roadmap, prioritizing scalability and reliability.
• Innovate and think creatively to develop new features that enhance our customer's shopping experiences.
• Own and lead major components of our product, ensuring they meet both internal standards and external expectations.
• Collaborate across teams to foster a unified approach to product development, facilitating consensus and driving effective outcomes.
• Responsible for the strategic planning and execution of projects you oversee, from inception to deployment and maintenance.

About You

Minimum Qualifications

• 5+ years of backend development experience, with a strong record of project delivery.
• Proficiency in backend languages, such as Ruby or Go.
• A solid foundation in unit testing and problem-solving.
• Exceptional communication skills and the ability to lead and collaborate with diverse teams.
• Holds a Bachelor's or Master’s degree in Computer Science, Software Engineering, or equivalent experience.

Preferred Qualifications

• Effectively lead a cross-functional team, demonstrating strong teamwork skills, and capable of clearly communicating ideas and fostering alignment across different departments.
• Experience in building scalable solutions and architecture.
• Familiarity with ML model development and iteration.
• Thorough knowledge of developing applications using GraphQL.
• Skilled in the use of monitoring and observability tools like Datadog.
• Extensive experience with database management, particularly PostgreSQL and AWS OpenSearch.