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Lyft

Machine Learning Engineer, Estimated Travel Time

Lyft
United States · Full-time · Mid-Senior
At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for generating ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success.

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.

Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. 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.

Responsibilities:

  • Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions
  • Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance
  • Develop statistical, machine learning, or optimization models
  • Write production quality code that can scale well to serve millions of requests per day
  • Participate in code reviews, design reviews, production on-call support and incident triaging process.
  • Write well-crafted, well-tested, readable, maintainable code

Experience:

  • B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
  • 3+ years of Machine Learning experience
  • Proficiency in Python, Golang, or other programming language
  • Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark
  • Ability to work in distributed teams spread across time zones. (North America and Europe)

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 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
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive and diverse workplace. 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 or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

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. 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 $140,8000 - $193,000. 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.

Key Skills

Ranked by relevance

machine learning python apache data analysis kubernetes big data golang spark aws san
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United States

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Posted
Jun 08, 2025
Type
Full-time
Level
Mid-Senior
Location
San Francisco County
Company
Lyft

Industries

Ground Passenger Transportation

Categories

Engineering Information Technology

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