Lyft

Senior ML Engineer to build AI Platform components for critical AI applications across Lyft, supporting real-time and offline model execution. Requires expertise in GenAI, platform building, LLM infrastructure, and MLOps.

Senior ML Engineer to focus on building AI Platform components enabling critical AI applications across Lyft. Expertise with GenAI and platform building is a core requirement. Contribute to a platform supporting real-time, online, and offline AI/ML model execution, development, and iteration.

Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization.

Lyft Ads is seeking an Algorithms Scientist to build the next generation of ads relevance, targeting, optimization, and measurement algorithms. This role involves working with large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. The scientist will collaborate with Engineering, Product, Data Science, and Sales to translate business needs into algorithmic solutions that improve ad performance and drive revenue growth. The role requires hands-on modeling experience, ability to write production code, and a focus on personalization, measurement, and real-time optimization.

Machine Learning Engineer for Lyft Business, focusing on designing, building, and deploying ML systems across various domains including pricing, fraud detection, and agentic AI. The role involves end-to-end ownership of models, from prototyping to production, and collaboration with cross-functional teams to drive business impact.

Senior Software Engineer to build AI-powered tooling for test case generation, review, and execution, aiming to automate quality assurance and improve developer productivity within Lyft's mobile platforms.

Senior Software Engineer to build and ship backend services and AI-powered products, specifically AI Agents, for customer support automation. The role involves full lifecycle ownership from design to production, focusing on scalable systems and GenAI integration.

Manager for a team of Data Scientists, Applied Scientists, and ML Engineers building the algorithmic backbone of Lyft Ads, focusing on ad relevance, yield optimization, targeting, and measurement. The role involves defining technical vision, leading execution, and integrating ML systems into production ad serving and measurement platforms, with a strong emphasis on experimentation and causal inference.

Manager for a team of Data Scientists, Applied Scientists, and ML Engineers building the algorithmic backbone of Lyft Ads, focusing on ad relevance, yield optimization, targeting, and measurement. The role involves defining technical vision, leading execution, and integrating ML systems into production ad serving and measurement platforms, with a strong emphasis on experimentation and causal inference.

Senior Data Scientist role focused on building and deploying production-grade ML and optimization models for Lyft's marketplace. The role involves designing, formulating, and solving complex mathematical optimization problems, owning the full model lifecycle, and integrating algorithms into live systems. It emphasizes first-principles mathematical reasoning and driving technical strategy for foundational marketplace models.

Senior Data Scientist role focused on building and deploying production-grade ML and optimization models for Lyft's marketplace. The role involves designing, formulating, and solving complex mathematical optimization problems, owning the full model lifecycle, and integrating algorithms into live systems. It emphasizes first-principles mathematical reasoning and driving technical strategy for foundational marketplace models.

Product Manager for Lyft's AI Platform and Marketplace Applications, focusing on Agentic AI products. The role involves defining roadmaps, understanding user needs, evangelizing AI offerings, and identifying opportunities for AI to drive efficiency and effectiveness across the company. Requires strong understanding of agentic systems and conceptual knowledge of ML/AI.

Lyft is seeking a Data Science Manager to lead a team focused on improving the Rider App experience through algorithm development, machine learning, and experimentation. The role involves shaping vision, driving execution, and partnering with cross-functional teams to enhance rider relationships and expand to new segments. The ideal candidate will have expertise in advanced analytics, ML, causal inference, experimentation, and a proven track record of leading data science teams in fast-paced environments.

Senior Machine Learning Engineer at Lyft focused on Recommendations. This role involves developing and launching ML algorithms for core business services and products, with a focus on personalization and user impact. Requires strong Python/Golang skills and experience with ML methodologies like supervised learning, forecasting, recommendation systems, RL, and multi-armed bandits.

Lyft is seeking an Applied Scientist to develop and launch ML and optimization models for dynamic pricing and offer selection, productionalizing pipelines that scale to millions of calls per day. The role involves leveraging expertise in ML and Operations Research to solve real-world marketplace problems, balancing complexity and efficiency to create reliable solutions.

Lyft is seeking an Applied Scientist to develop and launch ML and optimization models for dynamic pricing and offer selection, productionalizing pipelines that scale to millions of calls per day. The role involves leveraging expertise in ML and Operations Research to solve real-world marketplace problems, balancing complexity and efficiency to create reliable solutions.

Lyft is seeking a VP of Safety & Customer Care to lead a strategic transformation leveraging AI to reimagine customer care and safety experiences. This role requires a customer-obsessed executive leader with a blend of operational excellence, Trust & Safety depth, and technology transformation leadership. The VP will be responsible for executing a vision that scales self-serve and agent AI while balancing human touch, modernizing platforms, and owning the SCC P&L. They will also serve as Lyft's voice on safety and customer trust with external stakeholders.

Machine Learning Engineer at Lyft focused on developing and launching recommendation algorithms for consumer products. The role involves data analysis, building ML models, writing production code, and evaluating ML systems against business goals. Experience with Python/Golang, supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits is required.

Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time matching algorithms for rideshare supply and demand, and building product offerings. This role involves mathematical modeling, machine learning, optimization, and implementing algorithms in a production environment.

This role bridges the gap between Finance business needs and technical delivery by architecting AI-enabled solutions for the Finance function. The architect will translate complex business requirements into scalable systems, drive AI transformation, and ensure responsible adoption of AI technologies within Finance workflows, focusing on operational excellence and strategic impact.

Software Engineer role focused on building AI-powered self-service tooling and "paved paths" to improve developer experience, engineering efficiency, and reduce bugs in the mobile engineering organization. The role involves developing in-house AI tooling for test case generation, smarter test execution, and accessibility monitoring, integrating intelligent systems into developer workflows, and contributing to the next generation of the quality platform.

This role is responsible for shaping and implementing platform safety policies, with a focus on building an LLM-first Safety Policy and Operations function. It involves owning policy taxonomy, governance, and a multi-step lifecycle for safety submissions, integrating LLM and ML models. The role requires collaboration with cross-functional teams, research on emerging trends, and communication of insights.

Data Scientist role at Lyft focused on community safety, leveraging data and analytical frameworks to identify opportunities, build impactful safety features, models, and systems, and drive proactive risk identification. Requires experience in SQL, Python/R, statistical analysis, and experimentation.

Data Scientist role focused on building and deploying ML models for driver incentives within Lyft's consumer platform. Responsibilities include problem framing, data analysis, model construction, production code writing, and experimental design/analysis.

Senior Product Manager for Lyft's Autonomous Vehicles (AV) Platform team. This role focuses on building and scaling the AV platform through strategic partnerships, requiring a blend of technical integration, partner relationship management, and customer focus. The role involves owning product strategy, serving as a key partner liaison, driving product iteration, and leading cross-functional teams. Familiarity with AI tools is mentioned as a way to accelerate workflows.

Product Manager for Lyft's Premium Modes (Lyft Black and Black SUV), focusing on rider experience, driver quality, mode growth, and electrification strategy. This role involves end-to-end product ownership, driving a cross-functional team, and leveraging AI tools to enhance workflows and products.

Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers Lyft's insurance platform. The role involves understanding claim handling workflows, identifying bottlenecks, and multiplying productivity by driving platform innovations and resolving pain points with AI automation solutions.

Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers Lyft's insurance platform. The role involves understanding claim handling workflows, identifying bottlenecks, and multiplying productivity by driving platform innovations and resolving pain points with AI automation solutions. Experience driving AI adoption or automation initiatives is required.

Lyft is seeking a Staff Design Program Manager to lead program management for Design Systems, Content Design, illustration, iconography, and AI tooling. This role will also lead program management for the AI Taskforce and AI Education workstreams, aiming to transform how Design+ practitioners work at Lyft through AI tools and infrastructure. The ideal candidate will be a strategic thinker with strong execution skills and a hands-on familiarity with AI tools.

Lyft is seeking a Staff Design Program Manager to lead program management for Design Systems, Content Design, illustration, iconography, and AI tooling. This role will also lead program management for the AI Taskforce and AI Education workstreams, aiming to transform how Design+ practitioners work at Lyft through AI tools and infrastructure. The ideal candidate will be a strategic thinker with strong execution skills and hands-on familiarity with AI tools.

Senior Software Engineer on the Marketplace team at Lyft, focusing on designing and building AI-driven data analytics platforms, data pipelines, and metric governance systems to improve business operations. Requires experience in agentic workflows, model evaluation, causal models, and anomaly detection.

Senior Software Engineer on the Marketplace team at Lyft, focusing on designing and building AI-driven data analytics platforms and data pipelines to improve business operations and strategic decision-making. The role involves leading work streams, driving AI innovation, and collaborating with product, data science, and operations teams.

Lyft is seeking a Group Product Manager II for their Pricing team. This role will lead a team of product managers responsible for the full pricing lifecycle, including planned pricing, dynamic pricing, rider engagement offers, and the pricing platform infrastructure. The role requires a deep technical understanding of microeconomics, operations research, or machine learning, and experience managing product managers. Key priorities include optimizing pricing portfolios, preparing for autonomous vehicles, advancing personalized offers through applied AI, and increasing pricing precision.

Group Product Manager II for Lyft's Pricing team, focusing on leading product managers across four sub-teams (Planned Pricing, Dynamic Pricing & Offer Selection, Rider Engagement, Price Orchestration). The role involves setting product vision, strategy, and roadmaps for pricing lifecycle, impacting Gross Bookings and Adjusted EBITDA. Requires experience in algorithmic, data-driven, or marketplace products, team management, and a technical understanding of microeconomics, Operations Research, or Machine Learning.

Data Scientist on the Risk Solutions team at Lyft, focusing on reducing accident frequency and claim severity by designing experiments and predictive models. This role involves partnering with cross-functional teams to transform data into actionable strategies for safety and financial resilience.

Data Scientist on the Risk Solutions team at Lyft, focusing on reducing accident frequency and claim severity by designing experiments and predictive models. This role involves partnering with cross-functional teams to transform data into actionable strategies for safety and financial resilience.

Data Scientist on the Rider Engagement team at Lyft, focusing on developing mathematical models for pricing and rider engagement systems. This role involves optimization, prediction, and machine learning to drive business growth and enhance rider experience, with a strong emphasis on production implementation and experimentation.

Software Engineer for Lyft's Govtech team, focusing on features for new market entry, regulatory compliance, and AI-enhanced user experience. Responsibilities include roadmap/architecture, coding, leading projects, and collaborating with cross-functional teams. Requires 3+ years of software engineering experience, distributed systems knowledge, and cloud platform experience. Machine learning/LLM application experience is preferred.

Senior Data Engineer role focused on building and maintaining core company data pipelines, scaling data processing, evolving data models, and optimizing ETL processes. The role also involves shipping ML models at scale with a focus on systems and performance engineering.

Manager for Lyft's Trust & Safety Policy team, focusing on shaping and implementing platform safety policies. This role will influence the direction of an LLM-first Safety Policy and Operations function, building foundational processes and infrastructure. Responsibilities include developing policy taxonomies, frameworks, and collaborating with cross-functional teams. Requires experience in Trust & Safety policy, AI/LLM application in this domain, and technical acumen to work with engineers.

Data Scientist on the Mapping team at Lyft, focusing on improving recommended routes and travel time estimations for rideshare drivers. The role involves leveraging spatial data, building a mapping product, and using data science to shape mapping products and business decisions. Key responsibilities include identifying opportunities, designing experiments, and measuring feature impact.

Product Manager for Lyft's Matching & Fulfillment group, focusing on optimizing the marketplace by improving rider-driver matching, estimating ETAs and costs, and ensuring on-time delivery. The role involves defining roadmaps, managing product development for a cross-functional team, and leveraging data and experimentation to drive product improvements.

Product Manager role at Lyft focused on the Matching & Fulfillment marketplace, involving optimization of matching algorithms, ETAs, and fulfillment systems. Requires an Operations Research/ML/algorithmic background and experience shipping technical products, using data and experimentation to guide cross-functional teams.

Software Engineer (Backend) for Lyft's Growth Platforms team, focusing on Incentives & Messaging systems. The role involves designing, developing, and operating large-scale distributed systems, with an opportunity to improve efficiency via machine learning models. Requires 3+ years of backend experience and familiarity with Python and cloud environments. Experience with AI/ML integration is a plus.

Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time supply and demand matching algorithms, optimization, prediction, and machine learning models for the platform's core services. This role involves writing production modeling code, designing and implementing experiments, and analyzing data to drive product decisions and improve user experiences.

Data Scientist specializing in Algorithms for Lyft's Fulfillment team, focusing on developing and improving real-time matching algorithms for rideshare supply and demand, and building product offerings to enhance rider and driver experiences. This role involves leveraging data, building mathematical models (optimization, prediction, machine learning), writing production code, and designing/analyzing experiments.

Lyft's Mobile Tooling team is seeking an iOS Tooling Engineer to build foundational systems for mobile engineers, focusing on developer experience and productivity. The role involves creating and maintaining build and release infrastructure, exploring and implementing new tools, and building mobile-specific AI agent workflows to enhance productivity and migration efficiency. The ideal candidate will have experience in iOS development, build systems, and ideally, AI/agentic programming.

Lyft is seeking a Senior iOS Tooling Engineer to build foundational systems for their mobile engineers, focusing on developer experience and productivity. The role involves creating and maintaining mobile build and release infrastructure, exploring new tools, and building mobile-specific AI agent workflows to enhance developer productivity and migration efficiency. The ideal candidate will have experience supporting large iOS builds, building command-line tools, and a strong understanding of native mobile testing practices. Bonus points for experience with Bazel, AI, and agentic programming.

Backend and Data Engineer role focused on processing high-frequency ride data for Telematics, serving ML models, and deriving safety insights. The role involves working with large-scale data pipelines, microservices, and AWS/Spark/Airflow stack, with a focus on productionizing ML models and ensuring the maintenance and improvement of Telematics systems.

Lyft is hiring a Data Science Manager to lead a team focused on improving mapping products and making data-driven decisions. The role involves shaping priorities, recommending technical solutions, designing experiments, and measuring impact in collaboration with engineering teams. Key areas include optimizing routes, improving driver routing experience, and benchmarking map services. The manager will lead and grow a team, define data science strategy, provide technical guidance, and champion data-driven decision-making. Experience in experimentation, causal inference, and leading data science teams is required, with a preference for advanced degrees in quantitative fields. Hands-on experience with ML model operationalization and large-scale data processing is desirable.