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Software Engineer Intern

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Onsite

Software Engineer Intern

Lyft

Software Engineer Intern

Skills

PythonKerasPyTorchTensorFlowMachine Learning

1 month ago

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Important information


Location:

Toronto, ON, Canada

Work mode:

Onsite

Published on:

23 September 2026

What they need


Who you are

  • 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 2027 and Summer 2028 (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 2027 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

What the job involves

  • If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you!
  • 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

Benefits

  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  • Pre-tax commuter benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
  • Family building benefits
  • Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

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