Member of Technical Staff

**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.

**About the Team**: The AI Data team advances the performance of Large Language Models (LLMs) and Vision-Language Models (VLMs) through cutting-edge data-centric techniques. From synthetic data generation to model distillation and AI-driven preference alignment, we develop high-quality datasets that enhance model efficiency, reasoning, and adaptability. Our work directly impacts the training and fine-tuning of frontier AI systems, ensuring they learn from richer, more diverse, and better-structured data.

Join us in shaping the future of AI through cutting-edge data optimization. We’re looking for driven individuals who thrive in fast-changing environments, adapt to new research paradigms, and eagerly take on challenges—whether deploying models, inspecting data, or pioneering new synthetic and reinforcement learning data methods.

**Key Responsibilities**:

- Develop and implement cutting-edge data strategies to improve the performance, efficiency, and applicability of LLMs, VLMs and Action Models:

- Generate and augment synthetic multimodal datasets, including images, text, and action trajectories, to advance model capabilities in areas like VQA, agent behaviors, and virtual navigation
- Design and iterate on evaluation frameworks to target edge cases and measure model improvements across multiple domains
- Lead research into aligning data with human and AI preferences, implementing feedback loops to refine agent decision-making and learning behaviors
- Collaborate effectively with cross-functional teams to integrate data-driven solutions into LLM, VLM and Agent systems
- Stay at the forefront of breakthroughs in AI data strategies, model distillation, and multimodal learning through active scientific exploration

**Requirements**:

- Technical skills:

- Strong, polyvalent programming skills in Python covering parallel computing, system design, large-scale deployments, AWS deployments and model evaluations
- Experience developing and maintaining multimodal data pipelines
- Experience in training and deploying LLMs, VLMs or Pytorch models
- Research skills:

- MSc or PhD in machine learning, computer vision, natural language processing, or a related field
- Deep understanding of training and evaluation paradigms for multimodal models
- Soft skills:

- Strong communication skills with technical and non-technical staff
- Effectiveness in fast-changing environments
- Nice to Have:

- Experience with agent-specific data pipelines and improvement techniques is a plus
- Experience managing efficient multi-modal human annotation platforms is a plus

**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.