{"id":"54ebd7c3-f1ee-45a1-a7ce-5a0658fbc97f","title":"Machine Learning Engineer, Safety and Customer Care AI","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/54ebd7c3-f1ee-45a1-a7ce-5a0658fbc97f","apply_url":"https://app.careerpuck.com/job-board/lyft/job/8684440002?gh_jid=8684440002","status":"open","location":"Toronto, Canada","locations":[{"city":"Toronto","region":null,"country":"CA"}],"workplace":null,"remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":null,"first_seen_at":"2026-11-05T21:25:03.353Z","last_seen_at":"2026-11-06T22:36:10.249Z","salary_text":null,"summary":"- Hybrid Machine Learning Engineer role on Lyft's Safety and Customer Care team in Toronto; the posting requires in-office work at least 3 days per week (Mondays, Wednesdays, Thursdays).\n- Work covers post-training open-source LLMs (SFT, LoRA, RLHF/RLAIF/RLVR), building LangGraph-based AI agents, and evaluation frameworks for safety-critical customer-facing systems.\n- Experience expected: 3+ years in applied ML/AI, hands-on Python and PyTorch, shipped agents, and LLM evaluation; an MS or PhD is listed (experience can substitute).\n- Base pay CAD $118,800–$148,500 per year. Work authorization is not stated in the posting, so eligibility should be confirmed with the recruiter.","sources":["https://app.careerpuck.com/job-board/lyft/job/8684440002?gh_jid=8684440002"]}