The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
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
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
What they're looking for
- 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
