Apple is seeking a Machine Learning Engineer to join their Apple Intelligence Platform team, focusing on delivering cutting-edge Generative AI experiences that will impact billions of users worldwide. This role represents an exciting opportunity to work at the intersection of Machine Learning and Software Engineering, with a particular emphasis on recent developments in Generative AI.
The position is part of a premier team responsible for the Research, Development and Deployment of Apple's core intelligence platform, which powers features across Apple's ecosystem including Writing Tools, Notification Summaries, ChatGPT integration, and Siri. The team works on sophisticated technologies including adapters, speculative decoding, and guided generation.
As a Machine Learning Engineer, you'll collaborate with various engineering teams at Apple, translating expertise in ML and Generative AI into impactful applications. The role offers high visibility and the chance to work with a diverse team of talented professionals across Machine Learning and Software Engineering domains.
The ideal candidate should have proven hands-on experience with Generative AI inference, prompt optimizations, RAG, and decoding strategies. Technical requirements include proficiency in languages like Swift, C/C++, Obj-C, and Python, along with strong fundamentals in machine learning and speech processing.
Apple offers a comprehensive compensation package, including a competitive base salary range of $143,100 to $264,200, plus opportunities for stock ownership through various employee stock programs. Additional benefits include medical and dental coverage, retirement benefits, educational expense reimbursement, and access to discounted Apple products and services.
This role provides an exceptional opportunity to work on cutting-edge AI technology while contributing to products used by millions of people daily. The team maintains a strong culture of knowledge sharing, staying current with state-of-the-art developments, and fostering cross-functional collaboration throughout Apple.