Research Engineer / Scientist, Post-training - Paris

Job description

**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. **About the Team:** 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. **Key Responsibilities:** - 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 **Requirements:** - Technical skills: - Strong programming skills (Python, Git) - Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow) - 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 **Location:** - 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). **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.**