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 prospect 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

📌 Software Engineer Intern (Toronto)
🏢 Lyft
📍 Toronto