Machine Learning Engineer, Recommendations
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 this role actually needs.
Machine Learning Engineer, Recommendations at Lyft in Toronto. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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.
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Partner with Engineers, Data Scientists, Product Managers, and Business Partners to apply machine learning for business and user impact
- Perform data analysis and build proof-of-concept to explore and propose ML solutions to both new and existing problems
- Develop statistical, machine learning, or optimization models
- Write production quality code to launch machine learning models at scale
- Evaluate machine learning systems against business goal
What a strong candidate brings
This keeps the job page specific, readable, and easier to match.
Why people would want this job
Benefits help searchers understand whether the role is a real fit before they apply.
- 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 to help save for your future
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to machine learning engineer, recommendations is a high-signal on-site role in toronto, and it is most realistic for canada residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
Interview themes
Watchouts
- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use canada residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Search intent signals for this listing
Helpful keyword hooks for serious tech searchers and future programmatic job pages.
Ready to move on this role?
This page keeps the application flow simple while giving you enough context to decide quickly and move.