Apple-posted 9 months ago
Full-time • Manager
Seattle, WA
Computer and Electronic Product Manufacturing

Do you believe generative models can improve how we interact with our devices on a daily basis? Are you passionate about the user experience, and helping to make these improved interactions seamless, easy and enjoyable? Join our team, and be at the forefront of pushing Apple Intelligence towards even greater heights, as we lead the industry in at-the-edge incorporation of generative technologies into everyday user experiences. The System Intelligence and Machine Learning (SIML) group is responsible for crafting machine learning solutions running at the edge on all Apple platforms (macOS, iOS, tvOS, watchOS), taking full advantage of vertical integration and co-design with Apple Silicon. Examples include image generation for Genmoji and Image Playground as part of Apple Intelligence, face recognition and scene classification in Camera and Photos, along with a host of other focused technologies in OCR, handwriting recognition, and computer vision. The group combines research and development in a dynamic and engaging environment. As the successful leader for the data science team you will be a strong thought leader in the space with a demonstrable track record. There are many exciting challenges and unsolved problems to explore!

  • Grow and lead a team dedicated to enhancing data science and synthesis capabilities.
  • Stay informed about the latest industry advancements.
  • Mentor team members and foster collaboration with partner teams.
  • Develop strategies and algorithms for mining large amounts of data for targeted model training.
  • Address challenges in automatic evaluation of generative results and identify failure cases.
  • Streamline human-in-the-loop processes for dataset construction.
  • Create and implement systems to account for subjectivity and human error.
  • Synthesize training data and augmentations to real-world data.
  • Bachelors, Masters or PhD in Computer Science, Mathematics, Physics, or a related field; or equivalent experience.
  • Experience leading multi-disciplinary teams passionate about practical machine learning solutions.
  • Ability to mentor and lead data scientists with a system design and implementation perspective.
  • Significant hands-on contributions to algorithms and/or implementation.
  • Passion for excellence and can instill this passion into the team and the culture.
  • Product-focused and strategic mentality, comfortable making hard choices from among competing priorities.
  • Skill in providing ongoing transparency to stakeholders and in cross-disciplinary communication.
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