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. 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. S. D.

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

Mental health

Family building

Child care and pet

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).