{"id":2130684,"url":"https://alion.io/job/apple-aiml-machine-learning-researcher-mlr-2","title":"AIML - Machine Learning Researcher, MLR","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":91,"open_postings":923,"ghost_share":0.001,"stale_share":0.152,"repost_share":0.003,"time_to_fill_p50_days":102,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":180000,"period":"year","method":"role_country_seniority_unknown","sample_n":114},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLX ML","optional":false},{"name":"Pre-training","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-10-06T22:58:53Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-24T17:47:12Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Play a part in building the next revolution of machine learning technology. We're looking for a passionate researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning focusing on LLMs, VLMs, and more generally generative foundation models, possibly at all steps (pre-training, fine-tuning, steering, efficient inference etc…). As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.\nDescription\nYou have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conference and journal venues, and make sure that your research results are reproducible. 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