Senior Software Engineer, Recommendations

Lyft is a transportation company that connects riders with drivers through its app. The Applied AI team is looking for a Senior Software Engineer to join the Recommendations team, building backend systems that decide what to surface to riders.

• Establish engineering best practices and drive a culture of engineering excellence.
• Drive high-impact projects and innovate solutions for the best user experience.
• Produce and drive scalable system design for large, complex features.
• Mentor engineers and provide technical guidance.
• Champion the use of AI tools to accelerate engineering productivity.
• Write well-crafted, well-tested, readable, maintainable code.
• Participate in code reviews and on-call rotation.
• Manage project priorities, deadlines, and deliverables.

• BS/MS or equivalent in Computer Engineering, Computer Science, or related field.
• 5+ years of software engineering/production infrastructure industry experience.
• Experience with Python and Go.
• Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB.
• Proficient in using AI tools (e.g., Copilot, Claude Code, Cursor).
• Proficiency in object-oriented programming.
• Experience with data structures or algorithms.
• Ability to work with a low-ego, collaborative, cross-functional team.

• Experience building real-time serving systems for ML models, recommendation/ranking systems, feature stores, or online/offline experimentation frameworks.

• Extended health and dental coverage, life insurance, and disability benefits.
• Mental health benefits.
• Family building benefits.
• Child care and pet benefits.
• Lyft funded Health Care Savings Account.
• RRSP plan.
• Flexible paid time off policy.
• 18 weeks of paid parental leave.
• Subsidized commuter benefits.

Base pay range: CAD $136,000 - CAD $170,000, not inclusive of potential equity, bonus, or benefits.

Hybrid schedule: in-office at least 3 days per week (Mondays, Wednesdays, Thursdays). Flexibility to work from anywhere for up to 4 weeks per year.