Research Scientist Intern (PhD) - Model Team - London
H Company · Hybrid London
CHECKED 8H AGO
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At a glance
Highlights
- Build foundational models powering cutting-edge agentic AI technology.
- Advance post-training with large-scale reinforcement learning and reward modeling.
- Explore self-verification, synthetic data, and efficient reasoning methods.
What they offer
- Collaborate with dynamic, multicultural team alongside world-class AI talent
- Opportunities for professional growth, continuous learning and career development
- Very high GPU-to-researcher ratio
Ideal candidate
Final-year PhD researcher passionate about agentic AI and foundational models, motivated to translate cutting-edge research into real-world systems in a collaborative startup environment.
Requirements
- Currently enrolled in a PhD, ideally in final year, in Computer Science, Machine Learning, Mathematics or 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
Lab profile
About H Company
Pushing superintelligence boundaries with autonomous agentic AI that automates complex multi-step tasks.
What they build
- Autonomous agentic AI systems
- Foundational infrastructure for autonomous AI
Known for
- Post-training
- Model inference and serving
- AI infrastructure
- Safe and responsible AI development
Key facts
- Teams in Paris, London, and the US