Research Scientist Intern (PhD) - Model Team - London
Core
Researching and developing foundational models (LLMs, VLMs) and training techniques for autonomous agentic AI systems.
Role type
PhD Research Intern (Model Team)
Builds
Foundational models and training infrastructure for agentic AI applications
Domain
Artificial Intelligence / Machine Learning / Autonomous Agents
Deliverable
production ML models
Required skills
PhD in CS/ML/Mathematics, publication in top-tier ML conferences, research or research engineering experience at leading labs
Preferred skills
Experience with reinforcement learning, reward modeling, synthetic data generation, world modelling
Technologies
Large Language Models, Vision-Language Models, Reinforcement Learning, Reward Modeling
Responsibilities
Develop training techniques to optimize model capabilities for agent applications, work on post-training and reinforcement learning, generate synthetic data at scale, enhance models via large-scale reinforcement learning and reward modeling
Seniority
Intern (PhD level)
