Research Scientist Intern (PhD) - Model Team - London

Role Summary

PhD - Graduation/Final year Internships available in our Research lab.

Research areas include

• Post-training & reinforcement learning, off-policy robustness
• Self-verification and learning from feedback
• Synthetic data generation at scale
• Efficient reasoning
• World modelling & Env generation

Alongside interesting research, you’ll enjoy a very high GPU-to-researcher ratio.

We are excited to tell you more !

Requirements

• PhD (completed or near completion) in Computer Science, Machine Learning, Mathematics, or a related field.
• Published in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, ICCV, CoRL).
• Strong research and/or research engineering experience at leading ML research labs.

About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries.

Benefits

• Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.
• Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.
• Unlock opportunities for professional growth, continuous learning, and career development.

If you want to change the status quo in AI, join us.

• London

About the Company

Our Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.