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About the Role
Lyft's Machine Learning Platform (MLP) team is seeking a backend Software Engineer to build and operate a platform supporting real-time ML model execution, development, and iteration. This role offers hands-on exposure to classical machine learning models and production ML systems at scale, with applications across the marketplace and business.
Responsibilities
- Own well-defined tasks and contribute to features on the ML platform, seeking guidance from senior team members when needed
- Develop reliable, performant, well-tested, readable, maintainable code that follows team coding standards and meets feature requirements
- Participate actively in code reviews, both giving and receiving feedback
- Monitor the stability and performance of your code after deployment, and proactively fix bugs and debug issues within your scope
- Participate in the team's operational responsibilities, including on-call rotations and following through on postmortem action items
- Contribute to technical debt reduction and technology modernization efforts
- Write documentation for the code and tasks you work on, including runbooks where needed, and help improve onboarding materials
- Participate in postmortems and planning discussions, providing input and feedback
- Collaborate with cross-functional partners, including the Machine Learning Engineers and Data Scientists who build on the platform
- Build your understanding of the ML platform and the tradeoffs behind its design by working closely with senior team members
- Utilize AI tooling to accelerate development workflows
Requirements
- BSc/MSc in Computer Engineering, Computer Science, or a related field, or relevant work experience
- 1+ years of backend engineering experience (internships included) working in any of these stacks: Python, Go, Java, etc.
- Experience with Linux
Skills
- Python
- Go
- Java
- Linux
- Machine learning systems
- ML serving/training/deployment infrastructure
- Cloud providers (e.g. AWS, Azure, Google Cloud)
- AI assisted coding such as Cursor or Claude Code
Location
- Toronto
Work Type
- Hybrid
- In-office
Experience Level
- 1+ years
Education Level
- BSc/MSc in Computer Engineering, Computer Science, or a related field, or relevant work experience
Salary/Compensations
- CAD $88,000 - CAD $110,000
Benefits
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- Access to a Lyft funded Health Care Savings Account
- RRSP plan with company match
- Flexible paid time off policy
- 18 weeks of paid parental leave
- Subsidized commuter benefits and Lyft ride credits
About the Company
- Lyft's purpose is to serve and connect.
- Lyft is solving hard problems at scale, leveraging Machine Learning to better serve our customers.
- Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.
Equal Opportunity
- Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.