Apple
Applied Research Scientist, Proactive Intelligence, — Agentic Systems and Generative Modeling
$185K–$325K
Cupertino, California · Full-time · Posted Mar 11, 2026
- Experience
- 3+ years using Python and/or C++ for ML modeling and applied research; a minimum of 3 years in applied ML and/or product development.
- Education
- M.S. or PhD in Computer Science or a related field such as Electrical Engineering, Robotics, Statistics, or Applied Mathematics, or equivalent experience.
About the job
Designs and deploys machine-learning models and agentic systems, including generative AI trained with deep reinforcement learning, for Apple products and platforms.
What you'll do
- Design and implement ML algorithms; train generative models and agents, including scalable training and simulation.
- Integrate ML/RL frameworks into products and write production code with documentation and tests.
- Collaborate across teams on research tools, metrics, roadmaps, architecture, and code reviews.
What they ask for
- Strong Python and/or C++ programming skills, with 3+ years using these languages for ML modeling and applied research.
- M.S. or PhD in Computer Science or a related field, or equivalent experience.
- At least 3 years of experience in applied ML and/or product development.
- Hands-on deep-learning systems experience, strong software engineering skills, and demonstrated ability to train and debug ML systems.
Nice to have
- Familiarity with current ML literature, optimization methods, and modeling techniques.
- Proficiency with ML toolkits such as PyTorch, TensorFlow, SkLearn.
Pay
$184,700 and $324,800 (base salary)
Tools
Python, C++, PyTorch, TensorFlow, SkLearn
AI focus
Research and develop generative AI and agentic systems using deep reinforcement learning, including training large-scale agents and simulating agent behaviors.
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