{"id":"c86874c4-48a1-438d-9a5b-7bc998544346","title":"Senior Machine Learning Engineer, Recommendations","company":{"id":"23882316-4bac-4f5b-b291-339349ce1845","name":"Lyft","website":"https://app.careerpuck.com","url":"https://yesjob-web.pages.dev/companies/23882316-4bac-4f5b-b291-339349ce1845"},"url":"https://yesjob-web.pages.dev/jobs/c86874c4-48a1-438d-9a5b-7bc998544346","apply_url":"https://app.careerpuck.com/job-board/lyft/job/8603653002?gh_jid=8603653002","status":"open","location":"Toronto, Canada","locations":[{"city":"Toronto","region":null,"country":"CA"},{"city":"Toronto","region":"ON","country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":{"max":187000,"min":149600},"languages_required":[],"seniority":"senior","first_seen_at":"2026-11-05T21:25:03.353Z","last_seen_at":"2026-11-06T22:36:10.249Z","salary_text":null,"summary":"- Senior Machine Learning Engineer on Lyft's Rider Applied AI team in Toronto, building real-time recommendation and ML systems, including LLM-based applications.\n- Requires an M.S. or Ph.D. in a technical field, 5+ years of ML experience (or Ph.D. with 3+ years), and experience with deep learning for recommendation systems (TensorFlow, PyTorch or similar).\n- Hybrid role: in office at least 3 days per week (Mondays, Wednesdays and Thursdays). Work authorization is not stated in the posting, so confirm eligibility with the recruiter.\n- Base pay range stated as $149,600-$187,000 CAD per year, excluding equity, bonus and benefits.","sources":["https://app.careerpuck.com/job-board/lyft/job/8603653002?gh_jid=8603653002"]}