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
Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app.
Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment.
Inference: Design and analyze tests in our dynamic marketplace, estimating: statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems.
Partner with Engineers, Product Managers, and other cross-functional partners: to frame problems, both mathematically and within the business context
Perform exploratory data analysis to gain a deeper understanding of the problem
Write production modeling code; collaborate with software engineers to implement algorithms in production
What they're looking for
- Design and run both simulated and live traffic experiments
- Analyze experimental and observational data; communicate findings including: working with partner teams and presentations; facilitate launch decisions
- Currently pursuing a Masters or PhD degree at a university in Canada: (required) in mathematical sciences ( Operations Research, Computer Science, Statistics , Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; AND with a graduation date between December 2027 and June 2028 (required)
- Available during Summer 2027 for an internship in Toronto
