18 hours ago
Toronto, CanadaIntern
Responsibilities
- Design, build, train, and test machine learning models.
- Write production-level code that converts ML models into working pipelines.
- Partner with product managers, data scientists, and ML engineers to define business-relevant ML problems.
- Analyze experimental and observational data and communicate findings to support decisions.
- Participate in code and specification reviews to maintain quality and share knowledge.
Requirements
- Currently pursuing a bachelor’s, master’s, or PhD in computer science or a related technical field at a university in Canada.
- Expected graduation between December 2027 and Summer 2028.
- Master’s candidates with prior work between bachelor’s and master’s programs must have less than two years of relevant full-time experience.
- Available for the Summer 2027 internship in Toronto.
- Knowledge of ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras, or MXNet.
- Strong programming skills in Python or a similar object-oriented language.
- Ability to turn research ML papers into working code.
- Practical knowledge of efficient end-to-end ML workflows.
- Ability to design software systems and produce high-quality code.
- Strong problem-solving, learning, research, collaboration, and communication skills.
Benefits
- Mental health benefits.
- Interns receive two paid days off and three sick days off in addition to holidays.
- Subsidized commuter benefits and Lyft ride credits.
- Summer 2027 internship in Toronto on a hybrid schedule requiring at least three days per week in the office, including Mondays, Wednesdays, and Thursdays.
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.