Apple-posted 4 months ago
Senior
Pittsburgh, PA
5,001-10,000 employees

Join us as we build the best products for our customers! Apple's Data and ML Innovation team focuses on innovative technologies, methodologies, and research to enable fantastic user experiences and advance the frontier of machine learning. Our team is looking to hire a technical leader with a strong record in Applied Research passionate about ML and Human-Computer Interaction, mainly as applied to the responsibility, fairness, and safety of Generative AI. In this role, you will lead and build an organization accountable for researching and making ML technologies that enable breakthrough user experiences while upholding Apple's values and quality standards.

  • Lead teams of machine learning and research engineers to define and deliver responsible machine learning technologies
  • Advocate for scientific and engineering excellence: Contribute to the architecture and high-level structure of our AI-driven platform and features
  • Work cross-functionally on a diverse set of challenging problems and collaborate with extraordinary software and machine learning engineers and researchers to impact the future of Apple products
  • Work closely with product and partner teams to drive requirement definition, technical quality of deliverables, and execution
  • Build and grow inclusive, high-functioning, diverse teams
  • 5+ years leading teams that have delivered sophisticated machine-learning systems and human-centered AI products
  • Strong research or product deployment record in areas related to responsible AI, with publications in top ML and HCI venues, e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.
  • Strong in research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
  • Strong in human-centered research and design fundamentals in Human-Centered AI, Responsible AI, Human-Computer Interaction, and related fields
  • Strong organizational and operational skills working with large, cross-functional, and diverse teams
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