ML Software Engineer, ETA

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.

We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting 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 ...

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.

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
B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
3+ years of Machine Learning experience
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)