Lyft
Jobs at Lyft
Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.
Success! We'll use this to further personalize your experience.
Recently posted jobs
Transportation
Provides in-person customer support for Flexdrive’s vehicle rental process, including check-in, vehicle assignments, returns, and issue resolution. Prepares rental vehicles by fueling, cleaning, installing telematics and license plates, completing inspections, and maintaining compliance documents. Manages vehicle lot organization, transportation, and daily rental operations while escalating issues and delivering high-quality service.
Transportation
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.
Transportation
Data Analyst Intern supporting Lyft Urban Solutions by developing reporting frameworks, defining performance metrics, building dashboards, diagnosing KPI trends, and delivering reliable insights to city partners. The role collaborates with Operations, Engineering, Data Science, Product, and Finance teams to improve bikeshare fleet management, pricing, accessibility, and infrastructure decisions.
Transportation
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.
Transportation
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.
Transportation
Frontend software engineering intern responsible for owning projects, improving code quality, writing unit, integration, and load tests, participating in code reviews, and supporting continuous integration and deployment. The role involves building user-facing products at Lyft while collaborating with experienced engineers. Candidates must be pursuing computer science or a related degree at a Mexican university, graduating between December 2027 and Summer 2028, and available for a 12-week Summer 2027 internship in Mexico City.
Transportation
Software Engineer Interns will build and improve user-facing Lyft products, own projects, write reliable tested code, participate in code reviews, and support continuous integration and deployment. The role involves full-stack web development using Python, JavaScript, TypeScript, React, HTML, and CSS, with attention to browser behavior, performance, databases, and real-time technology. Interns collaborate closely with experienced engineers in a hybrid New York City office environment.
Transportation
Backend software engineering internship involving ownership of a project, progressive refactoring, reliability testing, code reviews, and continuous integration and deployment. Interns collaborate with experienced engineers and contribute to user-facing Lyft products. Candidates must be Canadian university computer science students graduating between December 2027 and Summer 2028, available in Summer 2027 in Montreal, and fluent in English with working French proficiency.
Transportation
Develop test automation tools to improve product quality, reliability, and user trust. Responsibilities include owning projects, refactoring code, writing unit, integration, and load tests, participating in code reviews, and supporting continuous integration and deployment. The intern will collaborate with engineers in Lyft’s Montreal office and contribute to improving rider experiences.
Transportation
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.
Transportation
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.
Transportation
Backend software engineering internship focused on owning projects, writing reliable and tested code, participating in code reviews, refactoring, and supporting continuous integration and deployment. Interns collaborate with experienced engineers and contribute to user-facing Lyft products. The role requires strong computer science fundamentals, database experience, familiarity with real-time technology and mobile development, and availability for a Summer 2027 hybrid internship in San Francisco.
Transportation
Develop and evolve Lyft’s backend platform for Bikes and Scooters across markets and business models. Responsibilities include defining architecture and roadmaps, writing maintainable and tested code, leading projects, participating in code reviews, resolving incidents, documenting designs, collaborating across teams, and promoting engineering best practices.
Transportation
Develop and maintain backend platform software for Lyft’s Bikes and Scooters station systems. Responsibilities include defining architecture and roadmap, writing tested and maintainable code, conducting code reviews, leading projects from conception through delivery, addressing incidents, communicating with stakeholders, and promoting engineering best practices. The role supports migration to a scalable platform serving multiple markets and business models.
Transportation
Lead and grow a firmware engineering team developing embedded systems for e-bikes, scooters, batteries, docks, and charging infrastructure. Set technical direction for IoT, powertrain, battery management, OTA updates, diagnostics, safety, and fleet operations. Manage roadmaps, staffing, releases, hiring, and performance. Partner cross-functionally on product development, regulatory certification, reliability, and sustaining engineering while establishing CI/CD, HIL testing, code review, and incident response practices.
Transportation
Data Science Interns will develop optimization, machine learning, or inference models supporting Lyft’s marketplace and transportation platform. Responsibilities include exploratory data analysis, production modeling, algorithm implementation, simulated and live experiments, statistical analysis, and communicating findings to guide launch decisions. Interns collaborate with engineers, product managers, and cross-functional partners. Candidates must be pursuing a relevant master’s or PhD and be available in Summer 2027 for a hybrid internship in New York City.
Transportation
Data Science interns develop optimization, machine learning, and statistical models for Lyft’s transportation marketplace. Responsibilities include exploratory data analysis, production modeling code, algorithm implementation, simulated and live experiments, analysis of experimental and observational data, and communicating findings to cross-functional partners. Interns collaborate with engineering and product teams to support launch decisions.
Transportation
Data Science Interns develop mathematical, optimization, machine learning, and statistical models for Lyft’s marketplace and transportation platform. Responsibilities include exploratory data analysis, production modeling, algorithm implementation, simulated and live experiments, experimental analysis, and communicating findings to support launch decisions. Interns collaborate with engineers, product managers, and cross-functional teams.
Transportation
Summer 2027 test automation intern responsible for developing advanced test automation tools, improving code quality, supporting unit, integration, and load testing, participating in code reviews, and contributing to continuous integration and deployment. The role requires current enrollment in a Canadian computer science degree program, graduation between December 2027 and summer 2028, and availability to work in Montreal under a hybrid schedule.
Transportation
Backend software engineering internship at Lyft in Montreal for summer 2027. The intern will own a project, write reliable tested code, participate in code reviews, and contribute to continuous integration and deployment. The role requires computer science fundamentals, database experience, real-time technical problem-solving, mobile development experience, open-source contributions, strong communication, and English and functional French proficiency. The position follows a hybrid schedule with three in-office days per week.
.png)


