Senior Machine Learning Engineer, Recommendations
Lyft · Toronto, Canada · Toronto Coworking
- Level
- Senior
- Type
- full-time
- Mode
- On-site / hybrid
- Posted
- 2026-06-23
- Team
- Rider
Role description
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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data.…
Technologies named in the posting
How Rolefit scores this role
- Stack overlap (50%). Every technology named in the posting is compared with your selected stack, weighted by how rare it is across the whole index — a niche match counts for more than Docker.
- Seniority fit (16%). The level in the posting is compared with the level assessed from your years and depth.
- Title alignment (16%). Whether the role is actually pitched at your field rather than adjacent to it.
- Freshness and filters (18%). Newer postings, your work type and your target region all move the score.
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