The opportunity
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.
What you'll do
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
What they're looking for
- B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
- + 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)
