Research Engineer​/Scientist, Post-training - Paris

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.

The 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.

• Develop and train advanced LLMs and VLMs, including multimodal architectures
• Research and implement training methods for enhanced capabilities like instruction following and tool use
• Design and optimize data pipelines and training systems for large-scale distributed training
• Collaborate with cross-functional teams to integrate models into agentic AI systems
• Evaluate model performance and communicate findings to stakeholders
• Stay current with advancements in LLMs, VLMs, and related fields

• Technical skills:
  • Strong programming skills (Python, Git)
  • Expertise in deep learning frameworks (PyTorch, JAX, Tensor Flow)
  • Experience with large-scale distributed training of LLMs and VLMs
  • Hands-on experience with LLM training, alignment, and reinforcement learning
  • Knowledge of multimodal architectures and applications
• Research skills:
  • Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)
  • Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)
• Soft skills:
  • Excellent communication and presentation skills
  • Strong collaboration and teamwork skills
  • Passion for AI and problem-solving
• Bonuses:
  • Industry experience
  • Experience in LLM training with RL
  • Experience with data processing techniques

• Paris or London.
• This role is hybrid, and you are expected to be in the office 3 days a week on average.
• Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).

• 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.