Hcompany
Research Engineer / Scientist, Post-training - London
2mo ago
EuropeMiddleRemotelarge language modelsvision-language modelsreinforcement learningreward modeling
Develop and train advanced large language and vision-language models focused on agentic AI capabilities.
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
Conditions
- 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
Other
- 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
- 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).