ML Software Research Engineer
Apple — iPhone, Mac & the Apple ecosystem
About the role
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you’ll have the chance to be part of an ML innovation organization that creates a wide range of impactful Apple features. Within MIND, you’ll work on cutting-edge research in fields like Foundation Models and Perception, and develop end products that bring this research’s impact to Apple users. This role places a strong emphasis on shipping ML-based features and products. You’ll be involved in the entire end-to-end ML development pipeline, which includes crafting creative approaches to datasets, model training, runtime inference integration, and on-device model optimizations. Our ideal team member is fearless in trying new things and is willing to iterate on ideas. We value team members who can quickly prototype and iterate, ultimately leading to high-quality implementations.
What the index says about this role
- First seen by JobLarper — Aug 7, 2026, 1 day ago. Still inside the window where applications get read by a human rather than a pile.
- No pay range in our index for this listing. Across 193 indexed Machine Learning Engineer roles in US that do publish one, the middle half sits between $213k and $300k, median $250k — JobLarper's read of the market, not a figure from Apple.
- What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names ML.
- Apple is hiring actively — 47 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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