Description
You are a technical leader with a demonstrated track record of identifying the right problems, taking calculated risks, and shipping at scale. In this role, you will lead end-to-end incubations from early ideation to deployment, applying state-of-the-art ML research, algorithmic innovation, and agentic systems to challenges with both immediate and long-term company-wide impact. You bring deep intellectual curiosity, the ability to operate at the frontier of applied research, and the excellent communication skills to align executives and cross-functional partners alike. When your work breaks new ground, you will have the opportunity to publish your findings and engage with the broader academic community all while driving real-world impact at Apple's global scale.
Minimum Qualifications
MSc or PhD in Computer Science, Machine Learning, or related field; or equivalent track record of incubating and shipping ML features, platforms, and/or products 5+ years of experience leading an ML team Deep understanding of the ML model lifecycle for large-scale systems Demonstrated expertise in ML with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) Proficient modeling skills; deep familiarity with toolkits such as JAX, PyTorch, and/or Tensorflow
Preferred Qualifications
Demonstrated ability to influence high-level architecture decisions and advocate for novel research directions with product and executive leadership Exceptional communication and interpersonal skills, able to translate complex technical work for a broad audience Experience working across hardware, software, and design partnerships to bring ML capabilities to production Passion for building AI that is both technically rigorous and meaningfully human
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