L
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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