Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling
Core
Design and implement ML algorithms and train Generative AI models and Agentic systems using deep reinforcement learning to solve hard problems for Apple products.
Role type
Applied Research Scientist (Agentic Systems and Generative Modeling)
Builds
ML/RL frameworks, large-scale agents, and scalable training/simulation infrastructure for iPhone, Mac, Apple Watch, iPad, and more.
Domain
Consumer electronics, Generative AI, Reinforcement Learning, Autonomous Systems
Deliverable
production ML models
Required skills
Python, C++, deep reinforcement learning, training Large Language Models (LLMs), sequential decision making, probabilistic modeling, statistics, scalable ML infrastructure, error analysis, modern ML frameworks
Preferred skills
optimization methods, autonomous systems research, PyTorch, TensorFlow, SkLearn
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