{"id":"8bef993f-7d8c-4720-8180-4aa14b8b2edd","title":"Machine Learning Infrastructure Researcher","company":{"id":"fa016388-5479-410d-98aa-692be6a8805f","name":"Lightmatter","website":null,"url":"https://yesjob-web.pages.dev/companies/fa016388-5479-410d-98aa-692be6a8805f"},"url":"https://yesjob-web.pages.dev/jobs/8bef993f-7d8c-4720-8180-4aa14b8b2edd","apply_url":"https://boards.greenhouse.io/lightmatter/jobs/5148543008?gh_jid=5148543008","status":"open","location":"Toronto, ON","locations":[{"city":"Toronto","region":"ON","country":"CA"},{"city":"Mountain View","region":"CA","country":"US"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":[],"seniority":"staff","first_seen_at":"2026-11-04T22:43:11.423Z","last_seen_at":"2026-11-09T06:08:02.832Z","salary_text":null,"summary":"- Principal-level ML infrastructure research role at Lightmatter, focused on modeling performance of photonics-enabled systems for training and inference workloads.\n- Requires a PhD in Computer Science, Electrical Engineering, or a related field plus at least 10 years of industry or research experience.\n- Includes leading a small team of ML engineers and publishing academic research.\n- Based in Toronto, ON with a flexible hybrid workplace model; the posting does not state work authorization requirements or days onsite.","sources":["https://boards.greenhouse.io/lightmatter/jobs/5148543008?gh_jid=5148543008"]}