{"id":"d9fbc088-505d-4855-8c28-50dcd4d0c30e","title":"Staff Machine Learning Engineer","company":{"id":"250aa5b6-c939-4d53-a5f9-39beaee097d7","name":"Scientific Games, LLC","website":null,"url":"https://yesjob.brogu.ca/companies/250aa5b6-c939-4d53-a5f9-39beaee097d7"},"url":"https://yesjob.brogu.ca/jobs/d9fbc088-505d-4855-8c28-50dcd4d0c30e","apply_url":"https://sglottery.wd5.myworkdayjobs.com/ScientificGamesExternalCareers/job/Toronto-Canada/Staff-Machine-Learning-Engineer_R504765","status":"closed","location":"Toronto, Canada","locations":[{"city":"Toronto","region":null,"country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":"staff","first_seen_at":"2026-11-05T17:44:34.904Z","last_seen_at":"2026-11-06T14:34:57.142Z","salary_text":null,"summary":"- Staff Machine Learning Engineer to define and build the organization's first ML platform architecture, enabling Data Scientists to self-serve deployment and monitoring.\n- Starts remote and transitions to hybrid; candidates must be local to Toronto, ON.\n- Requires a Master's in a related STEM field (Bachelor's acceptable with exceptional platform depth) and 5+ years of ML or platform engineering experience.\n- Requires hands-on Docker, Kubernetes, Python, and experience with MLflow, CI/CD, and canary/rollback systems.","sources":[]}