Lyft

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.

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.

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.

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.

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 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.

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.

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.

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.

Senior Software Engineer for Lyft's Streaming Compute Team, focusing on designing, developing, and maintaining low latency, high throughput streaming systems. These systems are critical for various teams and almost all ML models at Lyft, handling use cases like persisting service events, detecting issues, computing prime-time, and creating/storing/serving ML features for training and inference. The role involves leading projects, improving architecture, and ensuring operational excellence for real-time streaming platforms using technologies like Apache Kafka, Flink, and Beam, often in a cloud environment.

This role is for a Workplace Operations Specialist at Lyft, responsible for providing operational and facilities support to ensure a productive and inclusive work environment. Responsibilities include managing vendor relationships, coordinating facility maintenance, managing inventory, handling Zendesk tickets, managing mail/shipments, assisting with onboarding/offboarding, supporting events, and other site-specific duties. The role requires strong customer service, organizational, and communication skills, with at least 3 years of customer service experience and 1 year of office experience.

Software Engineer role focused on building and maintaining backend systems and data pipelines for Lyft's advertising platform. Responsibilities include ad serving, campaign management, reporting, data modeling, and data workflows. Requires experience in backend and data engineering, distributed systems, and orchestration tools.

Senior Analyst role focused on global expansion strategy for Lyft, involving market analysis, product development planning, and collaboration with cross-functional teams. The role requires strong analytical skills, business acumen, and strategic thinking to shape Lyft's international growth.

Software Engineer role focused on building and maintaining mapping services for Lyft, which are critical for real-world transportation interactions. The role involves driving high-impact projects, leading backend and cross-functional initiatives, owning systems, and ensuring code quality. Requires experience in distributed systems, cloud platforms, and databases, with a preference for Go and Python.

Product Manager for Lyft's Driver Experience team, focusing on identifying and solving driver pain points to improve service quality, streamline interactions, and create intuitive systems. This role involves setting product vision, defining success metrics, building roadmaps, and leading cross-functional teams (engineers, designers, data scientists, marketers) to execute product strategies for consumer-facing products.

Senior Director, Strategic Finance role at Lyft, reporting to the Head of FP&A. This role will partner with business leaders in Ads, Lyft Business, and Marketing, driving strategic financial decision-making through advanced analytics, consumer tech expertise, and ROI frameworks. Responsibilities include financial planning, budgeting, forecasting, scenario analysis, and leading a high-performing Strategic Finance team. Requires 12+ years of FP&A or strategic finance experience, preferably in technology companies, with direct experience supporting advertising or media businesses and growth/performance marketing finance.

This role is for a Senior TechOps Program Manager at Lyft, focusing on driving high-impact initiatives across Corporate Engineering, IT, Privacy, and Security. The role involves leading end-to-end program delivery for complex transformations, strategic planning, program governance, and cross-functional team orchestration. While the role mentions leading enterprise-wide AI and automation initiatives and identifying generative AI opportunities, its core function is program management and technology transformation, not direct AI/ML model development or research.

Lyft is seeking a Financial Analyst to support their Rideshare business. The role involves partnering with business leaders to translate data into actionable insights, shape strategy, forecast performance, and guide critical decisions. Responsibilities include developing financial models, running scenario analyses, supporting strategic business plans, collaborating with cross-functional teams, enhancing forecasting accuracy, developing financial data management practices, delivering insights through presentations, ensuring accurate financial reporting, and supporting continuous improvement of FP&A systems and processes. Required experience includes a quantitative Bachelor's degree, 2-3 years of FP&A experience, strong financial modeling and forecasting skills, ability to translate complex data into insights, and comfort in a fast-paced environment. Preferred skills include G-Sheet, SQL, and ERP systems like Oracle Essbase or Anaplan.

This role is for a Program Manager, Technology Ops at Lyft, focused on driving high-impact initiatives across Corporate Engineering, IT, Privacy, and Security. The role involves end-to-end program delivery for various technology transformations, strategic planning, program governance, and vendor management. While the role supports AI and automation initiatives by identifying opportunities for process optimization, it does not involve direct AI/ML model development or deployment.

Data Engineer on the Mapping team responsible for architecting, building, and maintaining scalable data pipelines and services to support route simulation, experimentation, analytics, and machine learning models. The role involves working with AWS, Kubernetes, and Apache Airflow, and requires strong experience with Spark, Python, and various database technologies.

Data Engineer on the Safety and Customer Care team, responsible for data modeling and pipelines powering AI agents and human associates. Focus on data quality, reliability, and efficiency improvements.

Data Scientist role focused on optimizing Lyft's Verticals (airports, scheduled rides, events) through statistical modeling, experimentation, and data analysis. The role involves identifying growth opportunities, developing technical solutions, and collaborating with cross-functional teams to improve rider and driver experiences.

Lyft is seeking a Senior Privacy Analyst to join their Privacy and Compliance Team. The role involves conducting privacy risk assessments, advising on data protection, developing policies, and ensuring privacy-by-design in products. The analyst will also drive operational excellence, develop program metrics, and collaborate with product and engineering teams. Experience with privacy regulations and security compliance frameworks is required.

Lyft is seeking a Business Systems Engineer with 5+ years of experience in Oracle ERP Cloud for Financials, Supply Chain, and Manufacturing implementations. The role involves supporting corporate systems, managing daily performance, implementing monitoring tools, creating automated workflows, developing software, configuring applications, and providing end-user training. Responsibilities include gathering business requirements, designing solutions, data migration, and coordinating development and testing activities. Experience with SQL, PL/SQL, BIP, OTBI, APEX, BICC reports, and Python for data transformation and automation is required. The role also involves monitoring infrastructure, managing deployments, and ensuring compliance.

Lyft is seeking an Analytics Lead for the Events & Venues team in Toronto. This role will leverage data and analytical thinking to shape products and business decisions related to events. Responsibilities include performing deep dives on event performance, identifying growth opportunities, establishing key metrics, managing reporting, and collaborating with cross-functional teams. The ideal candidate will have strong business acumen, experience in strategic data science/analytics, proficiency in SQL, and excellent communication skills.

Android Engineer focused on building and maintaining safety features for Lyft's consumer platform, working cross-functionally with product, design, and data science to ensure user safety and identify potential abuse vectors.

Data Analyst role focused on shaping product strategy and business decisions for Lyft's Global Growth team, which includes premium modes, international expansion, and Autonomous Vehicles. The role involves deep product analysis, identifying opportunities, measuring feature impact, and collaborating with cross-functional teams to drive market growth.

Lyft is seeking a Business Systems Engineer with expertise in Oracle Fusion Record to Report (R2R) processes to support and enhance their financial systems. The role involves configuring and maintaining Oracle Fusion Financial modules, partnering with finance stakeholders, leveraging reporting tools, and ensuring SOX compliance. The candidate will also explore emerging trends like Generative AI and Agentic AI for operational efficiency.

Manager, Strategic Finance role at Lyft, focusing on financial analysis for strategic decision-making, long-range and annual planning, competitive intelligence, and ad-hoc analysis. Requires strong financial modeling and business acumen.

Senior Software Engineer for Lyft's Pick-up and Places team, focusing on the Rider and Driver product for Pickup/Drop off Experience. This role supports the search system, enhances guidance and routing, and uses map data to create new product experiences. Responsibilities include driving high-impact projects, leading backend and cross-functional initiatives, owning systems, and writing high-quality code.

Lyft is seeking a Senior Privacy Analyst to join their Privacy team. This role will focus on ensuring data privacy is built into products by design, conducting privacy risk assessments, advising stakeholders, and developing privacy policies and technical controls. The ideal candidate will have deep knowledge of privacy concepts, experience with privacy regulations, and a strong technical background.

Demand Generation Manager for Lyft Business, focusing on scaling the self-serve business by developing and executing end-to-end demand generation strategies, managing paid media, and optimizing the customer journey to drive leads and bookings across various verticals.

Software Engineer role on the Pricing team at Lyft, focusing on building systems for rider pricing, driver earnings, and matching. The role involves developing latency-sensitive, large-scale distributed systems and implementing complex pricing requirements to balance rider, driver, and business needs. Requires experience in backend development, distributed systems, concurrency, and languages like Python or Golang.

This role focuses on leveraging data and analytics to improve the performance of bikeshare and scooter markets, driving data-informed strategies and impacting decisions related to operations, pricing, and product features. The primary focus is on data analysis and business intelligence within the urban mobility domain.

Engineering Manager for Lyft's Mapping organization, responsible for setting technical vision, leading a team of engineers, mentoring, and ensuring timely delivery of high-quality engineering solutions for mapping assets and capabilities. The role involves architecting, building, and scaling distributed systems, and launching consumer-facing products.