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
Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations
Design, build, train and test ML models in areas such as reinforcement: learning, sequential decision-making, personalization
Write production-quality code that turns research prototypes into working: pipelines on Lyft's data and ML infrastructure
Partner with Product Managers, Data Scientists, and fellow ML Engineers to: frame research questions within the business context
Analyze experimental and observational data, and communicate findings clearly: to both technical and non-technical audiences
Write up results for publication at a peer-reviewed venue, with support from your mentor and the team
What they're looking for
- Participate in code and spec reviews to ensure code quality and distribute knowledge
- Currently pursuing a PhD in Computer Science, Machine Learning, Statistics,: Operations Research, Applied Mathematics, or a related technical field, and returning to your program after the internship, with a graduation date between December 2027 and Summer 2028 (required)
- A track record of ML research, shown through publications, preprints, or substantial research projects
- Strong foundation in reinforcement learning and sequential decision making,: especially problems with delayed or long-horizon rewards
