Jobs at Lyft

Design and analyze experiments, develop statistical and machine learning models, identify patterns in large datasets, build data pipelines, establish product health metrics, and translate insights into decisions. The role partners closely with product, engineering, operations, and other data science teams to improve Lyft payment experiences, payout features, earnings transparency, and platform integrity.

Build and maintain backend features for Lyft’s Growth Platforms, including incentives and messaging systems. Responsibilities include designing distributed services, writing reliable and tested code, debugging production issues, improving system performance and observability, participating in code reviews and on-call rotations, and collaborating with product, design, data science, and engineering teams. The role requires 3–5 years of backend software engineering experience and familiarity with cloud infrastructure, databases, APIs, asynchronous processing, and CI/CD.

Leads 6–8 engineers building and operating Lyft’s high-scale dynamic pricing and ride offer selection systems. Owns roadmap execution, architecture, model productionization, reliability, SLAs, incident escalation, technical debt, hiring, performance management, and team development. Partners with Product, Science, Analytics, and senior stakeholders to balance technical, product, and business priorities.

Develop and maintain large-scale, fault-tolerant software systems for Lyft’s GovTech team. Responsibilities include partner integrations, roadmap and architecture planning, writing tested and maintainable code, leading projects, collaborating cross-functionally, supporting internal and external partners, participating in code reviews, and promoting engineering best practices. The role involves distributed systems, cloud platforms, databases, regulatory integrations, and potentially machine learning or LLM applications.

Designs and operates Lyft’s foundational networking infrastructure, including service mesh, routing, ingress and egress systems, and control planes on AWS and Kubernetes. The role focuses on scaling high-throughput distributed systems, improving observability and reliability, debugging complex production incidents across networking layers, and providing technical leadership through architecture reviews, incident response, and mentorship.

Analyze marketplace trends, financial and product levers, budgets, and competitive insights to support Lyft’s Rideshare growth strategy. The role develops forecasting, reporting, business reviews, recommendations, and execution plans while partnering with cross-functional stakeholders and leadership. It requires strong SQL, quantitative analysis, communication, attention to detail, and the ability to improve processes and operate effectively amid ambiguity and change.

Analyze spatial and product data to improve Lyft’s mapping, routing, and travel-time estimation products. The role designs online experiments, develops performance metrics and analytical frameworks, identifies growth and efficiency opportunities, and translates insights into product and business decisions. The Data Scientist partners with engineers, product managers, and operators while communicating recommendations to senior stakeholders. Responsibilities also include monitoring rider and driver experience and applying statistical analysis, programming, visualization, and machine learning techniques.

Supports finance technology applications across ERP, HCM, procurement, supply chain, and FP&A. Builds automation workflows using Workato and Python, writes SQL queries, validates data, prototypes AI solutions, configures Jira automation, develops reports, tests integrations, gathers requirements, and provides user support. The intern collaborates with finance, HR, IT, and engineering stakeholders while learning agile methods, systems integration, and finance transformation.

Own Salesforce enterprise architecture across multiple orgs, including acquired-company CRM consolidation, data migration, integration, and multi-org governance. Define scalable Salesforce solutions, data models, security, sharing, and integration patterns; guide engineering standards, CI/CD, testing, and platform adoption. Partner with Sales, RevOps, Marketing, Finance, Privacy, Legal, and Security on architecture, compliance, and GTM systems. Mentor teams and lead strategic programs involving middleware, identity resolution, data harmonization, and legacy-system decommissioning.

Support Lyft’s internal content system by developing information architecture, improving publishing workflows, and creating connected content experiences. Partner with design, research, engineering, marketing, and product teams on UX writing and learning design projects. Translate complex concepts into clear UI copy, notifications, errors, and educational materials while maintaining Lyft’s brand voice. Manage multiple projects, evaluate strategy and metrics, and contribute to content systems across the UI, learning center, and knowledge base.

Develop and maintain scalable, fault-tolerant software for Lyft’s Rider organization. Responsibilities include writing tested code, participating in code reviews and on-call support, debugging distributed systems, managing project deliverables, collaborating with product and engineering teams, improving processes, establishing architecture and roadmaps, and mentoring junior engineers.

Supports treasury operations across Lyft’s entities, including daily cash positioning, liquidity optimization, banking infrastructure, payments, trade settlements, letters of credit, and Treasury Management System implementation. The role also supports SOX compliance, audits, M&A integration, process automation, internal controls, and ad hoc treasury projects. It requires collaboration with internal and external partners in a fast-paced, multinational environment.

Owns end-to-end AV partner audits across multiple markets, coordinating evidence collection, compliance readiness, mitigation, corrective actions, and audit closeout. The role manages cross-functional stakeholders, improves audit tracking systems, develops repeatable playbooks, prepares teams for reviews, and reports risks and timelines to leadership. Candidates need program management or audit experience in regulated or standards-driven environments, strong documentation discipline, and familiarity with safety-critical industries such as autonomous vehicles, automotive, or aviation.

Architects and deploys AI agents, intelligent workflows, and enterprise integrations across business functions. Partners with stakeholders to identify AI opportunities, build ROI-focused business cases, and implement scalable solutions. Develops reusable frameworks, monitors workflow performance, leads training and enablement, builds an AI community of practice, and evangelizes agentic AI best practices. Requires extensive integration, automation, cloud, API, enterprise SaaS, LLM, RAG, and agent-framework experience.

Own domain datasets, data pipelines, business metrics, and quality checks that support Lyft’s marketplace decisions. Build reliable analysis-ready data, deliver metrics to stakeholders, and partner with product managers, engineers, and operators to translate data into action. Communicate analytical findings clearly and maintain trusted data products with executive visibility.

Contribute to designing, training, testing, and deploying machine learning models and production pipelines. Collaborate with product managers, data scientists, and ML engineers to solve business problems, analyze data, communicate findings, and participate in code and specification reviews. The intern will apply research papers in working code, build efficient ML workflows, and develop high-quality software in a collaborative environment.

Conduct qualitative and quantitative UX research for Lyft drivers and riders using interviews, usability testing, field research, surveys, diary studies, and other methods. Analyze research data, develop actionable insights, and communicate recommendations that guide product and design improvements. Collaborate with Design, Product Management, Analytics, Engineering, and senior researchers while gaining mentorship and contributing to user-facing products.

Backend software engineering intern responsible for owning projects, writing and improving code, testing for reliability, participating in code reviews, and supporting continuous integration and deployment. The role requires strong computer science fundamentals, database experience, real-time technology problem-solving, and potential mobile development experience. The internship is based in Toronto during Summer 2027 with a hybrid in-office schedule.

Data Engineer Intern supporting large-scale data projects at Lyft. Responsibilities include owning an internship project, improving code quality, writing tests, participating in code reviews, and contributing to continuous integration and deployment. The role requires database experience, SQL and data modeling knowledge, strong computer science fundamentals, and effective communication. This hybrid Toronto internship is available during Summer 2027.

Software Engineer Intern working on full-stack, user-facing Lyft products. Responsibilities include developing and refactoring code, writing unit, integration, and load tests, participating in code reviews, and supporting continuous integration and deployment. Candidates should have web development experience with Python, JavaScript, React, TypeScript, databases, testing tools, browser technologies, and Git. The internship is based in Toronto during Summer 2027 on a hybrid schedule.