lyft

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>The Rider Recommendations team is an Applied AI and Machine Learning team tasked with personalizing all realtime decisions happening inside the Rider Apps, including search, ride modes, content selection and ranking, message generation and others. Since last year, this team has been one of the major contributors to financial outcomes at Lyft and, working closely with the Rider App team, they are in the process of evolving the Rider application to make more room for personalization and realtime decision making. The team operates as the orchestration layer behind everything that the rider sees, being the final decision maker on what to show.</p>
<p>You will work closely with machine learning, AI engineers and data scientists to define the right objectives for the team’s models, interfacing with the rest of the company to understand the Rider App’s stakeholder teams needs and Lyft’s overall goals. In order to do this, you will have to identify the outcomes worth pursuing and translate them into a single objective to be used end to end by the applications. You’ll have to consider short term and long term tradeoffs, other than objectives of partner teams.</p>
<h2>Responsibilities:</h2>
<ul>
<li>Define, own and be responsible for the roadmap of applied ML and AI products in every screen of the Rider Application, through the Rider conversion funnel</li>
<li>Define, track and periodically report on metrics and KPIs of the team, being directly responsible for financial outcomes that the team drives</li>
<li>Define the objective function to be maximized / minimized throughout the rider app, taking into account short term, long term and stakeholder teams’ objectives (Loyalty, Partnership, Ads, Business, AV, Safety, Luxury etc)</li>
<li>Work with data science to define, measure and predict long term value of Riders</li>
<li>Identify how to cold start new launches of region, modes and features in order to effectively drive adoption while still maintaining algorithm performance</li>
<li>Work in a cross functional team building a unified Rider profile vision by identifying, collecting and organizing information about Riders to be used for ML and AI training</li>
<li>Write detailed product requirements, strategy and planning documents aimed at both technical and non technical audiences to drive alignment on product development, set expectations on delivery of milestones and create predictable outcomes for workstreams</li>
<li>Design, run and analyze experiments and ongoing evaluation systems to monitor model performance and evaluate improvements</li>
<li>Present to non technical leadership on the progress of the team monthly, showcasing progress and highlighting roadblocks</li>
</ul>
<h2>Experience:</h2>
<ul>
<li>Experience driving technically complex machine learning (ML) products end to end, from inception, to launch with significant user adoption, to sunset. Ideally the applications are consumer facing and involve UI interactions with users</li>
<li>Experience in managing (from product perspective) a team of software engineers, tracking the progress towards a roadmap through appropriate tools (Jira, Linear, Spreadsheets, Clickup etc)</li>
<li>Experience with user facing large scale experimentation (optimizely, statsig, eppo etc), knowing concepts such as power and statistical significance</li>
<li>Experience in using AI agents to accelerate day to day execution including, amongst others, to: understand code, perform queries on company data, prepare dashboards for leadership</li>
<li>Knowledge of how machine learning and AI work, including of the most widely known machine learning and deep learning packages (xgboost, catboost, lightgbm, scikit learn, keras, pytorch etc), other than the autoresearch approach</li>
<li>Familiarity with crafting and leading presentations to small groups at the CXO executive level and to big teams (100+ ppl) at an all hands like level in medium to large companies</li>
<li>Ability to review and provide critical product feedback to technical specifications written by engineers</li>
<li>Ease in driving results and operating independently and with little supervision in flat structured organizations where approvals are not needed but results are closely monitored</li>
</ul>
<h2><strong>Benefits:</strong><strong><br></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</p>
<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>

Senior Product Manager, Rider ML/AI

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p data-renderer-start-pos="192">Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices.</p>
<p data-renderer-start-pos="769">Trust and Safety is at the core of Lyft’s business. Our work ensures that our drivers and riders are part of a trusted and trusting community. Lyft’s global expansion and the development of a hybrid platform (with autonomous vehicles driving side by side to drivers) are a unique opportunity to help us redefine how we deliver in our promise of safety. This is a highly cross functional role that will partner with our Growth organization to rethink how we support these partnerships.</p>
<h2 id="Responsibilities:" data-renderer-start-pos="1255"><strong data-renderer-mark="true">Responsibilities:</strong></h2>
<ul>
<li data-renderer-start-pos="1276">Design and build the future of the platform that supports Safety in our journey for global expansion, setting up an ambitious vision and roadmap that motivates and inspires your team, peers, and leadership, and that accounts for the uniqueness of our partners and community members.</li>
<li data-renderer-start-pos="1562">Partner directly with engineering, data science, ML, design, and research teams to develop safety solutions uniquely tailored to each of our partners while maintaining a core platform that allows for speed of execution and maintainability.</li>
<li data-renderer-start-pos="1805">Partner with Policy and Support teams to develop solutions that provide a cohesive experience to Drivers and Riders whenever they encounter issues when using Lyft.</li>
<li data-renderer-start-pos="1972">Represent Trust and Safety as the SME in all our ongoing and new partnerships, ensuring that all new requirements are captured and well understood by the team.</li>
<li data-renderer-start-pos="2135">Ability to conceptualize, manage and prioritize multiple projects for stakeholders</li>
<li data-renderer-start-pos="2221">Define success metrics and drive data-informed decisions to ensure optimal prioritization</li>
</ul>
<h2 id="Experience:" data-renderer-start-pos="2314"><strong data-renderer-mark="true">Experience:</strong></h2>
<ul>
<li data-renderer-start-pos="2329">5+ years of experience in Product Management, with experience in Trust and Safety roles.</li>
<li data-renderer-start-pos="2421">Deep technical acumen, with experience delivering platform solutions that accelerate integrations with third parties. Engineering or Computer Science Degree strongly preferred.</li>
<li data-renderer-start-pos="2601">Experience leading a team of engineers and setting clear goals, strategies, and long term roadmaps.</li>
<li data-renderer-start-pos="2704">Comfortable working in fast-moving, ambiguous environments where you shape solutions as much as implement them.</li>
<li data-renderer-start-pos="2819">Demonstrated impact working with internal and external partners, across cultures and working styles.</li>
<li data-renderer-start-pos="2923">Strong communication skills and intuition for communication strategy at every level: within teams, with partner teams, and to executive leadership.</li>
<li data-renderer-start-pos="3074">Detail oriented with superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you.</li>
</ul>
<h2><strong>Benefits:</strong><strong><br></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</p>
<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>

Senior Product Manager, Trust & Safety

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p data-renderer-start-pos="192">Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices.</p>
<p data-renderer-start-pos="769">Trust and Safety is at the core of Lyft’s business. Our work ensures that our drivers and riders are part of a trusted and trusting community. Lyft’s global expansion and the development of a hybrid platform (with autonomous vehicles driving side by side to drivers) are a unique opportunity to help us redefine how we deliver in our promise of safety. This is a highly cross functional role that will partner with our Growth organization to rethink how we support these partnerships.</p>
<h2 id="Responsibilities:" data-renderer-start-pos="1255"><strong data-renderer-mark="true">Responsibilities:</strong></h2>
<ul>
<li data-renderer-start-pos="1276">Design and build the future of the platform that supports Safety in our journey for global expansion, setting up an ambitious vision and roadmap that motivates and inspires your team, peers, and leadership, and that accounts for the uniqueness of our partners and community members.</li>
<li data-renderer-start-pos="1562">Partner directly with engineering, data science, ML, design, and research teams to develop safety solutions uniquely tailored to each of our partners while maintaining a core platform that allows for speed of execution and maintainability.</li>
<li data-renderer-start-pos="1805">Partner with Policy and Support teams to develop solutions that provide a cohesive experience to Drivers and Riders whenever they encounter issues when using Lyft.</li>
<li data-renderer-start-pos="1972">Represent Trust and Safety as the SME in all our ongoing and new partnerships, ensuring that all new requirements are captured and well understood by the team.</li>
<li data-renderer-start-pos="2135">Ability to conceptualize, manage and prioritize multiple projects for stakeholders</li>
<li data-renderer-start-pos="2221">Define success metrics and drive data-informed decisions to ensure optimal prioritization</li>
</ul>
<h2 id="Experience:" data-renderer-start-pos="2314"><strong data-renderer-mark="true">Experience:</strong></h2>
<ul>
<li data-renderer-start-pos="2329">5+ years of experience in Product Management, with experience in Trust and Safety roles.</li>
<li data-renderer-start-pos="2421">Deep technical acumen, with experience delivering platform solutions that accelerate integrations with third parties. Engineering or Computer Science Degree strongly preferred.</li>
<li data-renderer-start-pos="2601">Experience leading a team of engineers and setting clear goals, strategies, and long term roadmaps.</li>
<li data-renderer-start-pos="2704">Comfortable working in fast-moving, ambiguous environments where you shape solutions as much as implement them.</li>
<li data-renderer-start-pos="2819">Demonstrated impact working with internal and external partners, across cultures and working styles.</li>
<li data-renderer-start-pos="2923">Strong communication skills and intuition for communication strategy at every level: within teams, with partner teams, and to executive leadership.</li>
<li data-renderer-start-pos="3074">Detail oriented with superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you.</li>
</ul>
<h2><strong>Benefits:</strong><strong><br></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</p>
<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>The expected base pay range for this position in the New York City area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>

<p><em>Job ID: 111269</em></p>
<p><em>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</em></p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Build and own features end-to-end from product specs through deployment and&nbsp;maintenance, ensuring high quality at every stage.</li>
<li>Drive frontend architecture for modern web applications using React, TypeScript, and/or Next.js. Collaborate cross-functionally to integrate emerging technologies into our evolving infrastructure.</li>
<li>Shape the roadmap by contributing technical perspective on architecture decisions and business priorities.</li>
<li>Write maintainable code with comprehensive testing, clear documentation, and thoughtful design.</li>
<li>Mentor through code reviews that prioritize both quality and knowledge sharing.</li>
<li>Support your team through pairing, healthy technical debates, and a culture of mutual growth.</li>
<li>Interface with stakeholders to gather requirements, communicate progress, and respond to technical questions.</li>
</ul>
<h2><strong>Experience:</strong></h2>
<p>Education and Experience:</p>
<ul>
<li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, or related field.</li>
<li>1 year of experience in job offered, software development, or related occupation.</li>
</ul>
<p>Skills:</p>
<ul>
<li>Experience with Python and Flask.</li>
<li>Experience with AWS services (DynamoDB and SQS) and Kubernetes.</li>
<li>Experience with algorithms, data structures, and object-oriented programming.</li>
<li>Experience with SQL or NoSQL databases.</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>
</ul>
<p class="p1"><em>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</em></p>
<p class="p1"><em>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</em></p>
<p class="p1"><em>The expected base pay range for this position in the San Francisco area is $138,000 - $192,000/year. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.&nbsp;</em></p>
<p class="p1"><span style="color: rgb(255, 255, 255);"><em>#LI-DNI</em></span></p>

Software Engineer

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes.&nbsp;</p>
<p>We are hiring a Machine Learning Engineer to join our Routing team. Our team builds and maintains Lyft's system responsible for providing routes for every ride request on our platform. We process millions of route requests per day and low latency, high reliability and high accuracy are paramount for our success.&nbsp;</p>
<p>If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.&nbsp;</p>
<p>Our technology stack runs on AWS, Kubernetes, Go, Python/C++, Apache Airflow, Flink, and Kafka. We use AI to improve development productivity, optimize customer support workflows, and enhance operational efficiency — all without compromising code quality or security. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.&nbsp;</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions</li>
<li>Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance</li>
<li>Develop statistical, machine learning, or optimization models</li>
<li>Write production quality code that can scale well to serve millions of requests per day</li>
<li>Participate in code reviews, design reviews, production on-call support and incident triaging process.</li>
<li>Write well-crafted, well-tested, readable, maintainable code</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience</li>
<li>3+ years of Machine Learning experience</li>
<li>Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark/Flink</li>
<li>Proficiency in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)</li>
<li>Ability to work in distributed teams spread across time zones. (EST and PST)</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service&nbsp;</li>
<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.&nbsp; Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.</p>
<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>The expected base pay range for this position in the Toronto area is CAD $118,800 - CAD $148,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

ML Software Engineer, Routing

<p class="p3">At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>The SupplyPlatform team develops robust architectural platforms and foundational features to empower Lyft’s global growth. We are seeking a highly motivated software engineering professional to advance the platform infrastructure supporting autonomous vehicles, premium offerings, taxi integration, and international expansion. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact.&nbsp;</p>
<p>As a Software Engineer for SupplyPlatform team, you’ll be responsible for enhancing the platform to support partner teams, making tradeoffs between technical investments and product work, and collaborating with other engineers on system design. You will work with a group of talented engineers and help the team to deliver significant business impact. If you enjoy collaborating with technical and nontechnical partners in a fast-moving space with real-world impact, this is the role for you.</p>
<h2>Responsibilities:</h2>
<ul>
<li>Help establish roadmap and architecture based on technology and understanding of customer needs</li>
<li>Write well-crafted, well-tested, readable, maintainable code</li>
<li>Can help lead large projects from idea to positive execution</li>
<li>Unblock, support and communicate with external and internal partners to achieve results</li>
<li>Participate in code reviews to ensure code quality and distribute knowledge</li>
<li>Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices</li>
</ul>
<h2>Experience:</h2>
<ul>
<li>3+ years of software engineering experience with high-level programming languages; experience with Python and Go is a plus.</li>
<li>BS/MS in Computer Engineering, Computer Science, or related field, or equivalent work experience.</li>
<li>Strong background in distributed systems, and proficient in relational or NoSQL databases.</li>
<li>Proven experience in designing, debugging, and managing fault-tolerant, highly available, large-scale distributed systems.</li>
<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)</li>
<li>Nice to have: proficiency in AI toolings (Claude code, Cursor, etc).</li>
</ul>
<p>Please submit your resume in English.</p>
<p>&nbsp;</p>

Software Engineer, Supply Platform

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with petabyte-scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business.</p>
<p>As a PhD Machine Learning Engineer Intern on our Applied AI team, you'll take on an open research problem tied to product experiences used by millions of riders. Working closely with a Staff ML Engineer mentor, you'll scope the problem, develop and evaluate new methods on real data, and take the work far enough that it can be shared with the research community, with the goal of a paper submission to a top ML venue.</p>
<p>If you are a PhD student who enjoys turning open-ended research questions into working systems, and you want your research to be tested against real users and real data, this opportunity is for you!</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations</li>
<li>Design, build, train and test ML models in areas such as reinforcement learning, sequential decision-making, personalization</li>
<li>Write production-quality code that turns research prototypes into working pipelines on Lyft's data and ML infrastructure</li>
<li>Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame research questions within the business context</li>
<li>Analyze experimental and observational data, and communicate findings clearly to both technical and non-technical audiences</li>
<li>Write up results for publication at a peer-reviewed venue, with support from your mentor and the team</li>
<li>Participate in code and spec reviews to ensure code quality and distribute knowledge</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>Currently pursuing a <strong>PhD </strong>in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, or a related technical field, and returning to your program after the internship, with a <strong>graduation date between December 2027 and Summer 2028 (required)</strong></li>
<li>A track record of ML research, shown through publications, preprints, or substantial research projects</li>
<li>Strong foundation in reinforcement learning and sequential decision making, especially problems with delayed or long-horizon rewards</li>
<li>Solid grounding in both causal inference and counterfactual evaluation</li>
<li>Good understanding of ML libraries like PyTorch, TensorFlow, or JAX</li>
<li>Strong programming skills in Python or a similar language</li>
<li>Proven ability to effectively turn research ML papers into working code</li>
<li>Curiosity and ability to quickly learn new concepts and technologies</li>
<li>Strong problem solving mindset, resourcefulness, and willingness to figure things out independently through research or collaboratively through brainstorming</li>
<li>Demonstrated oral and written communication skills</li>
<li><strong>Bonus Points</strong><br>
<ul>
<li>Publications at venues such as NeurIPS, ICML, ICLR, KDD, WWW, RecSys, or AAAI</li>
<li>Experience with offline reinforcement learning, off-policy evaluation, or learning from logged interaction data, recommender systems or personalization</li>
<li>Practical knowledge of how to build efficient end-to-end ML workflows on large-scale data (for example Spark or SQL)</li>
<li>Familiarity with online experimentation and A/B testing</li>
</ul>
</li>
</ul>
<h2><strong>Benefits:</strong><strong><em><br></em></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options</li>
<li>Mental health benefits</li>
<li>In addition to holidays, interns receive 2 days paid time off and 3 days sick time off</li>
<li>401(k) plan to help save for your future</li>
<li>Subsidized commuter benefits</li>
<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>
</ul>
<p><em>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</em></p>
<p><em>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers.&nbsp;</em></p>
<p><em>The expected base pay range for this position in the San Francisco area is $65-$68/hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</em></p>
<p><em>Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.&nbsp;</em></p>

PhD Machine Learning Software Engineer Intern (Summer 2027)

<p data-path-to-node="9">At Lyft, our purpose is to serve and connect. Lyft’s Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable services.</p>
<p data-path-to-node="10">As a <strong data-path-to-node="10" data-index-in-node="5">Senior Software Engineer on the Foundational Infrastructure &amp; Networking team</strong>, you will own the core routing, service mesh, and control planes that power hundreds of microservices processing millions of rides daily. This is an IC role with massive engineering leverage: your technical architecture, systems design, and performance optimizations will directly amplify the velocity of every software engineer across Lyft while ensuring platform resiliency at scale.</p>
<h2 data-path-to-node="12">Responsibilities</h2>
<ul>
<li><strong data-path-to-node="13,0,0" data-index-in-node="0">Architect &amp; Scale Core Networking:</strong> Design, build, and optimize our service mesh, ingress/egress infrastructure, and edge routing capabilities using Envoy Proxy and custom control planes on AWS.</li>
<li><strong data-path-to-node="13,1,0" data-index-in-node="0">Optimize High-Throughput Control Planes:</strong> Enhance load-balancing algorithms, service discovery, and dynamic scaling mechanisms across high-concurrency data and control planes running on Kubernetes.</li>
<li><strong data-path-to-node="13,2,0" data-index-in-node="0">Drive Systems Reliability &amp; Observability:</strong> Operationalize deep telemetry, metrics, and distributed tracing across our networking stack to drastically reduce mean-time-to-detect (MTTD) and resolution (MTTR).</li>
<li><strong data-path-to-node="13,3,0" data-index-in-node="0">Hands-on Production Debugging:</strong> Lead complex technical investigations into cross-stack incidents spanning kernel parameters, cloud VPC network layers, DNS, and distributed microservice protocols.</li>
<li><strong data-path-to-node="13,4,0" data-index-in-node="0">Technical Leadership &amp; Mentorship:</strong> Elevate engineering rigor through RFC reviews, technical vision, incident response post-mortems, and mentoring engineers across the broader Infrastructure org.</li>
</ul>
<h2>Experience</h2>
<ul>
<li><strong data-path-to-node="16,0,0" data-index-in-node="0">6+ Years of Production Systems Experience:</strong> Proven track record building and operating massive-scale cloud infrastructure and networking platforms.</li>
<li><strong data-path-to-node="16,1,0" data-index-in-node="0">Expertise in Cloud Networking &amp; Protocols:</strong> Deep understanding of Linux networking, TCP/IP, DNS, gRPC, HTTP/2, load balancing, and AWS networking architecture (VPCs, NLBs, subnets, transit gateways).</li>
<li><strong data-path-to-node="16,2,0" data-index-in-node="0">Service Mesh &amp; Proxy Expertise:</strong> Hands-on experience building or operating large-scale proxy and mesh technologies (e.g., Envoy, Istio, Cilium, Nginx).</li>
<li><strong data-path-to-node="16,3,0" data-index-in-node="0">Cloud &amp; Container Infrastructure:</strong> Strong experience managing production Kubernetes clusters running on public cloud providers (AWS/GCP) using Infrastructure-as-Code tools (Terraform).</li>
<li><strong data-path-to-node="16,4,0" data-index-in-node="0">Distributed Systems Troubleshooting:</strong> Demonstrated skill in isolating and debugging complex, multi-layered system failures under high throughput conditions.</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service&nbsp;</li>
<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.&nbsp; Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.</p>
<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

Senior Software Engineer, Foundational Infrastructure & Networking

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco headquarters.</p>
<p>Lyft's Verticals team owns three of the most strategically important and operationally complex marketplaces in our business: airports, scheduled rides, and events. These are the moments that matter most. Airports are a defining touchpoint in the Lyft experience: high-stakes, high-complexity, and critical to both rider trust and driver earnings. Scheduled rides give riders confidence and control while giving drivers greater predictability. Events, from packed stadium concerts to sold-out games, require precision logistics and seamless coordination at scale. Together, these verticals represent some of the highest-intent, highest-value use cases on the Lyft platform.</p>
<p>As a Senior Product Manager on the Verticals team, you'll lead a cross-functional team to shape how millions of people plan, book, and experience their journeys across these critical moments. You'll build seamless booking flows, deeply personalized experiences, and robust integrations with travel and event partners. You'll also take on some of the most complex challenges in rideshare: optimizing rider-driver matching in dynamic, high-variability environments, advancing demand forecasting, improving real-time driver guidance, and designing targeted incentives that drive growth. The solutions you build need to work everywhere, from a quiet regional airport to JFK, and from a Tuesday morning scheduled ride to 60,000 fans leaving a stadium at once.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Understand Lyft's strategic and competitive position. Set goals and success metrics that align with Lyft's mission and drive maximum impact based on data analysis, market research, and usability studies</li>
<li>Set an incredibly ambitious vision that motivates and inspires your team, peers, and leadership, and that accounts for the distinct dynamics of airports, scheduled rides, and events</li>
<li>Completely own your team's products, existing or new, from ideation through development, experimentation, launch, growth, and maintenance, caring deeply about both rider and driver experiences</li>
<li>Lead and align cross-functional partners, including engineers, designers, data scientists, analysts, marketers, business partners, and operations, to drive a shared vision</li>
<li>Communicate clear roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executive leadership</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>6+ years of experience in product management, product design, or equivalent consulting experience with significant time spent leading consumer mobile apps or marketplace products</li>
<li>Experience working with or alongside data science and operations teams on complex products; familiarity with experimentation, marketplace dynamics, or logistics is a plus</li>
<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>
<li>Natural ability to make things happen around you. You manage project ambiguity, complexity, and interdependencies in an organized and structured way</li>
<li>Strong ability to define and analyze metrics that inform the success of products and the health of the business</li>
<li>Excellent judgment and thoughtfulness about the dynamics of a product ecosystem, including balancing the needs of riders and drivers</li>
<li>Strong communication skills and intuition for communication strategy at every level: within teams, with partner teams, and to executive leadership</li>
<li>Experience leading post-launch optimizations, including developing testing strategies</li>
<li>Ability to conceptualize, manage, and prioritize multiple projects for stakeholders</li>
<li>Detail oriented with superior organizational skills. Balancing multiple projects, deadlines, and requests should be second nature to you</li>
</ul>
<h2><strong>Benefits:</strong><strong><br></strong></h2>
<ul>
<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
<p>Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.</p>
<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>

Senior Product Manager, Verticals

<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>
<p>The Driver team is dedicated to fostering a platform of high-quality service by empowering drivers to perform their best.&nbsp;</p>
<p>We are looking for a product-minded engineer who wants to build and improve products that sit at the center of the core driver experience. Products you drive will solve pain points that matter most to drivers by streamlining key interactions, reducing friction, and creating systems that feel intuitive, fair, and supportive.&nbsp;</p>
<p>As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.</p>
<h2><strong>Responsibilities:</strong></h2>
<ul>
<li>Design and implement backend features end-to-end with clear ownership, delivering well-scoped work from technical design through to production with moderate guidance from senior engineers</li>
<li>Write clean, reliable, well-tested code that meets team standards and holds up in code review</li>
<li>Participate actively in code reviews, giving specific and constructive feedback while continuing to develop your own review instincts</li>
<li>Debug and resolve issues across backend services including performance bottlenecks, reliability problems, and data integrity issues</li>
<li>Collaborate with product managers, designers, and partner engineering teams to clarify requirements and surface technical constraints early</li>
<li>Contribute to technical discussions and help evaluate implementation approaches for new features</li>
<li>Write unit and integration tests for your own code and develop familiarity with the team's broader testing and observability practices</li>
<li>Address technical debt and make incremental improvements to existing services as part of regular development work</li>
<li>Participate in on-call rotations, respond to production incidents, and support teammates in mitigating customer-impacting events</li>
<li>Communicate progress, blockers, and tradeoffs clearly within the team</li>
</ul>
<h2><strong>Experience:</strong></h2>
<ul>
<li>3–5 years of software engineering experience with a history of shipping backend features in production environments</li>
<li>Strong proficiency in one or more backend languages (Go, Python, Java, or similar) with a solid understanding of performance and reliability fundamentals</li>
<li>Solid working knowledge of distributed systems concepts — microservices, REST and/or gRPC APIs, message queues, and async processing patterns</li>
<li>Familiarity with relational and NoSQL databases, including data modeling, querying, and basic indexing and performance considerations</li>
<li>Experience with observability tooling — logging, metrics, and alerting — and a developing instinct for how to make systems debuggable in production</li>
<li>Comfortable working with cloud infrastructure (AWS, GCP, or similar) at a feature level, with a growing understanding of how services are deployed and operated</li>
<li>Experience writing and maintaining unit and integration tests with a focus on reliability and regression prevention</li>
<li>Familiarity with Git workflows, code review processes, and CI/CD pipelines</li>
<li>Ability to scope and break down moderately complex tasks independently</li>
<li>Good communication skills and a collaborative approach to problem-solving</li>
</ul>
<h2><strong>Benefits:</strong></h2>
<ul>
<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>Access to a Lyft funded Health Care Savings Account</li>
<li>RRSP plan with company match to help save for your future</li>
<li>In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service&nbsp;</li>
<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>
<li>Subsidized commuter benefits and Lyft ride credits</li>
</ul>
<p>Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.&nbsp; Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.</p>
<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid</p>
<p>The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</p>
<p>Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.</p>
<p>This job fills an existing vacancy.</p>

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