About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.
H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning and collaboration, where everyone has something to contribute.
Holistic, Humanist, Humble.
About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. The team builds upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and works closely with the LLM/VLM and Safety teams to explore new directions. In addition, the Agent team is constantly delivering agents as prototypes or MVPs to spread the agentic culture and explore new potential applications.
Key Responsibilities:
Implement different agent logics by reusing foundation models
Develop massive benchmark to evaluate agents capabilities and launch evaluation campaigns
Implement state-of-the-art Deep Reinforcement learning algorithms on top of large models
Propose research directions toward new agent paradigms and learning approaches
Requirements:
Location:
H’s teams are distributed throughout France, the UK, and the US
This role has the potential to be fully remote or hybrid for candidates based in cities where we have an office – currently Paris and London
The final decision for this will lie with the hiring manager for each individual role
What We Offer:
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
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development
If you want to change the status quo in AI, join us.