Generative AI Applied Scientist, SIML - ISE
Apple — iPhone, Mac & the Apple ecosystem
About the role
Generative AI Applied Scientist, SIML - ISE
Summary
Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models—from novel architecture design and large-scale training to final deployment.
Responsibilities
Design, train, and deploy large-scale multimodal LLMs, owning the entire lifecycle from initial architecture to final deployment within the constraints
Implement and demonstrate novel, human-centric user experiences by applying the capabilities of large foundation models
Create robust, scalable ML models and APIs that can be well-integrated into Apple's production pipelines and training infrastructure
Work closely with partner teams to build, iterate, and adapt innovative solutions in a dynamic, product-focused environment
What the index says about this role
- First seen by JobLarper — Aug 8, 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 196 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 1,119 indexed openings: ML (77%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names ML, AI/LLM.
- Apple is hiring actively — 41 open roles indexed.
Derived from the 27,016 roles JobLarper indexes daily from official company boards — not from the job description above.
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