10 hours ago
Responsibilities
- Own a research project from problem framing and related-work review through method development, rigorous offline and online evaluation, and publication preparation.
- Design, build, train, and test machine learning models for areas including reinforcement learning, sequential decision-making, and personalization.
- Convert research prototypes into production-quality code and working pipelines on Lyft’s data and machine learning infrastructure.
- Partner with Product Managers, Data Scientists, and ML Engineers to connect research questions to business contexts.
- Analyze experimental and observational data and communicate findings to technical and non-technical audiences.
- Participate in code and specification reviews to maintain code quality and share knowledge.
Requirements
- Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, or a related technical field, returning to the program after the internship, with graduation between December 2027 and Summer 2028.
- Demonstrated machine learning research through publications, preprints, or substantial research projects.
- Strong foundation in reinforcement learning and sequential decision-making, particularly delayed or long-horizon rewards.
- Grounding in causal inference and counterfactual evaluation.
- Familiarity with PyTorch, TensorFlow, or JAX and strong programming skills in Python or a similar language.
- Ability to turn research ML papers into working code and learn new concepts and technologies quickly.
- Strong problem-solving, independent research, collaboration, and oral and written communication skills.
- Preferred qualifications include publications at venues such as NeurIPS, ICML, ICLR, KDD, WWW, RecSys, or AAAI; experience with offline reinforcement learning, off-policy evaluation, logged interaction data, recommender systems, or personalization; large-scale ML workflows using Spark or SQL; and online experimentation or A/B testing.
Benefits
- Medical, dental, and vision insurance options; mental health benefits; a 401(k) plan; subsidized commuter benefits; and access to Lyft Pink testing opportunities.
- Interns receive 2 days of paid time off and 3 days of sick time off in addition to holidays.
- Hybrid in-office schedule requiring work from the office 3 days per week on Mondays, Wednesdays, and Thursdays.
- Summer 2027 internship for PhD students returning to their programs afterward.
Tech Stack
Categories
About Lyft
Lyft is a NASDAQ-listed transportation marketplace that connects riders with drivers and offers bike and scooter rentals in one app. Founded in 2012 and headquartered in San Francisco, it operates across the U.S. and parts of Canada. Its revenue comes from service fees on rides and rentals, enterprise programs, and consumer subscriptions such as Lyft Pink.