{"id":"6228e09b-ded7-4b58-bb1b-8830035b9802","title":"Machine Learning Engineer - ML Training Platform","company":{"id":"3522aa49-97b0-4438-97ab-5a1c79990984","name":"Pluralis Research","website":"https://pluralis.ai","url":"https://yesjob.brogu.ca/companies/3522aa49-97b0-4438-97ab-5a1c79990984"},"url":"https://yesjob.brogu.ca/jobs/6228e09b-ded7-4b58-bb1b-8830035b9802","apply_url":"https://jobs.ashbyhq.com/pluralis-research/7b107585-5a3b-428d-ad5d-1c85be9dca4e/application","status":"open","location":"San Francisco","locations":[{"city":"San Francisco","region":null,"country":"US"},{"city":null,"region":null,"country":"US"}],"workplace":"remote","remote_eligible_countries":["US"],"employment_types":["full_time"],"work_auth_required":"sponsorship_available","term":null,"salary_cad_per_year":null,"languages_required":["en"],"seniority":null,"first_seen_at":"2026-10-29T14:40:37.754Z","last_seen_at":"2026-11-10T10:21:54.562Z","salary_text":null,"summary":"- Remote-first ML infrastructure role building orchestration and distributed training systems for Protocol Learning across AWS, GCP and Azure.\n- Requires production experience with infrastructure-as-code, Kubernetes, GPU workloads and strong Python engineering.\n- Visa sponsorship is available (optional, with relocation to Australia or the US); professional English and comfort with cross-timezone work are required.","sources":["https://jobs.ashbyhq.com/pluralis-research/7b107585-5a3b-428d-ad5d-1c85be9dca4e"]}