Member of Technical Staff

il y a 6 jours


Paris, France H Company Temps plein

**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.

**H**olistic, **H**umanist, **H**umble.

**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**:

- Technical/Research skills:

- Research expertise (PhD in ML/deep learning) in one of the following topics:

- Reinforcement Learning
- Agentic systems based on LLMs/VLMs
- Proficient in Python & Git and at least one deep learning framework (PyTorch, JAX, TensorFlow)
- Soft skills
- Enjoys collaboration and team work
- Impactful communication
- Eager to explore the new challenges of agentic AI
- Bonuses:

- Experience in LLM training/fine-tuning

**Location**:

- H's teams are distributed throughout France, the UK, and the US
- 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.



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