Senior Machine Learning Engineer, Recommendations

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.  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, strategic, 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. The Rider team is responsible for the Lyft consumer app that you know and love (we hope!), and spans the entire consumer journey across the request and purchase flows, search, pickups and drop offs, the post-match experience, and the in-trip experience. We're hiring a Product Manager to lead our Golden Path strategy, owning the core ride request flows. The ideal candidate combines deep user empathy with strong analytical skills, has a proven track record driving core consumer product strategy, and excels at cross-functional collaboration to deliver experiences that embody Lyft's mission. RESPONSIBILITIES: * Drive strategic alignment by analyzing Lyft's competitive landscape and market position to define an ambitious product vision that motivates teams and leadership. Set team goals and success metrics that directly support Lyft's mission while maximizing business impact through rigorous data analysis, competitive intelligence, and user research insights. * Lead through uncharted product territory by analyzing fragmented data and emerging patterns to define strategic direction in ambiguous problem spaces, transforming incomplete insights and conflicting stakeholder priorities into clear product vision, actionable frameworks, and executable roadmaps. * Deliver on this vision by setting your team's goals, success metrics and roadmap and collaborating extremely effectively across the company. * Build a product roadmap to achieve your goals and lead a core team of engineers, designers, data scientists, and marketers to execute on it. * Deeply understand the needs and motivations of your customers.  * Completely own your team’s products – existing or new – from ideation, through development, launch, growth, and maintenance. * Clearly communicate roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executive levels. EXPERIENCE: * 4+ years in product management, product design or equivalent consultant experience with significant time spent leading consumer facing products.  * Natural leadership and ability to make things happen. You manage project ambiguity, complexity, and interdependencies in an organized and structured way, and you are able to define and analyze metrics that inform the success of your products. * Excellent judgment and thoughtfulness about the dynamics of the product ecosystem. * Strong communication skills and intuition for communication strategy at every level -- within teams, within the company, to users, and other audiences. * Ability to conceptualize, prioritize and lead multiple projects for stakeholders. * Detail oriented with superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you. * Background in membership, subscription, or loyalty program development in consumer-facing products or services preferred BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership 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. 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 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.

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. RESPONSIBILITIES: * Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. * System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. * Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically evaluating new research and identifying high-impact use cases across business areas. * Collaboration: Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals. * Data-Driven Decision Making: Leverage data-driven insights to inform and refine ML strategies and solutions. * Mentorship & Technical Leadership: Provide technical direction, mentor Junior engineers, and foster a culture of learning and collaboration. * Code Quality: Write production-level code and participate in code reviews to ensure quality and share knowledge across the team. EXPERIENCE: * M.S. or Ph.D. in Computer Science or related technical field * 5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields * Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks * Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning * Experience with translating state-of-the-art ML research into production systems * Proficiency in Python, Golang, or other programming language * Proven ability to tackle ambiguous problems and deliver solutions at scale. * Strong communication and interpersonal skills for effective cross-functional collaboration. BENEFITS: * Extended health and dental coverage options, along with life insurance and disability benefits * Mental health benefits * Family building benefits * Child care and pet benefits * Access to a Lyft funded Health Care Savings Account * RRSP plan with company match to help save for your future * 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  * 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. * Subsidized commuter benefits and Lyft ride credits 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.  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. 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 The expected base pay range for this position in the Toronto area is $149,600-$187,000 CAD, 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. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.