AIML - Foundation Model Post-Training Research Scientist
Core
Lead transformative progress in large-scale language models by developing and applying reinforcement learning techniques to train and refine next-generation foundation models for agentic capabilities.
Role type
Senior IC research scientist (foundation model post-training)
Builds
Next-generation foundation models with agentic capabilities (coding, software engineering, device use, UI understanding, navigation, agentic search)
Domain
Generative AI, Reinforcement Learning, Agentic AI
Deliverable
production ML models
Required skills
Reinforcement learning, Large language model training, Multi-modal foundation models, Model performance optimization, Agentic capabilities development, Deep learning theory
Preferred skills
Python, PyTorch/JAX, Large-scale system deployment, Decision-making algorithms, Peer-reviewed publications in top AI/ML venues
Technologies
PyTorch, JAX
Responsibilities
Design multi-modal architectures, Advance decision-making and evaluation pipelines, Deploy models to billions of devices, Optimize large-scale models for performance and efficiency
Seniority
Senior, hands-on IC
