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 setting, 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 recent 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