Proactive Intelligence, Applied Research Scientist - Agentic Systems and Generative Modeling

Apple-posted 2 months ago
Cupertino, CA
5,001-10,000 employees
Computer and Electronic Product Manufacturing
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AI represents a big opportunity to elevate Apple's products and experiences for billions of people globally. We are looking for Applied Research Scientists with a background and interest in Agentic Systems. You will be leveraging state-of-the-art Generative models to ship extraordinary products, services, and customer experiences for the iPhone, Mac, Apple Watch, iPad and more. The mission of Proactive Intelligence is to improve Apple platforms by better understanding, anticipating and adapting to user behavior by using machine learning to build phenomenal features that are built right into Apple platforms. Our team provides an opportunity to be part of an incredible research and engineering organization within Apple.

  • Design and implement ML algorithms that process data in different Apple products.
  • Train Generative AI models and Agentic systems using deep reinforcement learning to solve hard problems.
  • Work on integrating ML/RL frameworks into our products to train large-scale agents.
  • Leverage cloud services to enable scalable and distributed training/simulation of agent behaviors.
  • Communicate advanced ideas to a focused team of researchers.
  • Develop innovative tools and metrics that change the way we look at problems.
  • Work closely with other cross-functional teams to align messaging and contribute to roadmaps.
  • Contribute software back into different repos for proper integration with core systems.
  • Write clean, maintainable and production code with appropriate documentation and tests.
  • Contribute to architecture decisions, design reviews and peer code reviews.
  • Industry experience working on a range of modeling problems, including Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Learning from Human Preferences and Training Large Language Models (LLMs).
  • Working knowledge of large-scale data processing especially with structured data, probabilistic modeling and statistics.
  • Familiarity with researching current ML literature and math including optimization methods and modeling techniques.
  • Proficiency in using ML toolkits such as PyTorch, TensorFlow, SkLearn.
  • Passionate about building extraordinary autonomous systems with Generative AI.
  • Creative, collaborative and project focused with an ability to work hands-on in multi-functional teams.
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