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Lyft · 1 week ago

Software Engineer Intern, Machine Learning (Summer 2026)

Toronto, Ontario, Canada

Internship

Hybrid

Intern

CAD$45/hr - CAD$53/hr

Start in 2026 Summer

Lyft is a company that aims to serve and connect by fostering an inclusive work environment. They are seeking a Software Engineer Intern to contribute to the design, build, train, and test of Machine Learning models, while collaborating with Product Managers and Data Scientists to solve challenging problems using data.

AppsMobile AppsRide SharingSoftwareTaxi ServiceTransportation

Responsibilities

Contribute to the design, build, train and test of Machine Learning models

Write production-level code to convert ML models into working pipelines

Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context

Analyze experimental and observational data, communicate findings to support decisions

Participate in code and spec reviews to ensure code quality and distribute knowledge

Qualification

Machine LearningPythonML librariesEnd-to-end ML workflowsCuriosityProblem solvingInterpersonal skills

Required

Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required), with a graduation date between December 2026 and Summer 2027 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience

Available during Summer 2026 for the internship in Toronto

Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, etc

Strong programming skills in Python or a similar object oriented language

Proven ability to effectively turn research ML papers into working code

Practical knowledge of how to build efficient end-to-end ML workflows

“Engineer at heart” with a high degree of comfort in designing software systems and producing high-quality code

Curiosity and ability to quickly learn new concepts and technologies

Strong problem solving mindset, resourcefulness, and willingness to figure things out independently through research or collaboratively through brainstorming

Demonstrated oral and written interpersonal skills