{"id":2135681,"url":"https://alion.io/job/apple-aiml-machine-learning-engineer-mind","title":"AIML - Machine Learning Engineer, MIND","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":"B","score":75,"open_postings":925,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-10T05:45:15Z"}},"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":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":216000,"max_usd":477000,"period":"year","method":"role_country_seniority_unknown","sample_n":3434},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-03-11T23:44:26Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-11T00:06:23Z","board_verified":true,"closed_at":null,"days_open":213,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":212},"description":"As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.\nDescription\nAs a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation\nMinimum Qualifications\nProficient in Python and deep learning frameworks like PyTorch.\nExperience with training ML models including deep learning based models.\nAble to define metrics, evaluate ML models, and perform error analysis.\nFamiliar with recent advances in deep learning.\nBachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field.\nPreferred Qualifications\nExperience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal 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