Machine Learning Engineer

About the role

Lyft is seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning 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 machine learning and data science.

Responsibilities

• Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions
• Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform
• Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement
• Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals
• Leverage data-driven insights to inform and refine ML strategies and solutions
• Write production-level code and participate in code reviews to ensure quality and share knowledge across the team

Experience

• BS/MS in Computer Science, or a related field
• 2+ years of experience in machine learning modeling 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

• 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

Pay

The expected base pay range for this position in the New York City area is $140,800 - $176,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location.

Schedule

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. Hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.