{bc}
greenhouse

Senior Machine Learning Engineer, Recommendations

Lyft
San Francisco, USA
Senior
USD 162800-203500 / year
Discovered 1 months ago
golangpythonpytorchtensorflow

Full Job Posting

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:

  • 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 $162,800 - $203,500, 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.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Lyft