Machine Learning Platform Backend Engineer

Help operate Lyft’s Machine Learning Platform in Toronto through backend engineering, production code, and hands-on exposure to machine learning systems.

This Backend Engineer role supports real-time, online, and offline model execution, development, and iteration across Lyft. You will work alongside Machine Learning and Software Engineers, owning well-defined tasks and contributing to platform features. The position emphasizes readable, maintainable code, operational responsibility, documentation, and learning from senior team members.

Key Responsibilities:

• Own defined platform tasks and contribute to feature development
• Debug issues and proactively fix bugs within scope
• Reduce technical debt and support technology modernization efforts
• Follow through on on-call and postmortem action items
• Collaborate with Machine Learning Engineers and Data Scientists

Requirements:

• At least one year of backend engineering experience, internships included
• Backend experience using Python, Go, Java, or similar stacks
• Linux experience
• Computer science, computer engineering degree, or relevant work experience
• Exposure to machine learning systems or cloud providers preferred

Develop backend features, strengthen platform operations, and grow your understanding of machine learning infrastructure at Lyft.