Machine Learning Engineer, Estimated Travel Time

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 passionate and talented colleagues from software engineering, machine learning, and data science to build rideshare experiences that delight millions of riders and drivers.

Responsibilities:

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

Experience:

• B.S., M.S., or Ph.D. in Computer Science or related quantitative fields, or equivalent work experience.
• 3+ years of Machine Learning experience.
• Proficiency in Python, Golang, or other programming languages.
• 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 across time zones (North America and Europe).

Benefits:

• Comprehensive medical, dental, and vision insurance options with additional programs.
• Mental health benefits.
• Family building benefits.
• Child care and pet benefits.
• 401(k) plan for your future savings.
• Discretionary paid time off for salaried team members; 15 days paid time off for hourly team members.
• 18 weeks of paid parental leave for biological, adoptive, and foster parents.
• Subsidized commuter benefits.
• Lyft Pink - exclusive benefits of our Ridership Program.

Lyft is an equal opportunity employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status. We consider qualified applicants with criminal histories consistent with applicable laws.

This role is in-office on a hybrid schedule — working in the office 3 days a week (Mondays, Wednesdays, Thursdays). Hybrid roles may also work remotely up to 4 weeks per year. #Hybrid

The expected base pay range in the San Francisco area is $140,800 - $193,000, dependent on qualifications, experience, and location. This range excludes potential equity, bonuses, or benefits. Your recruiter can provide specific details during the hiring process.