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 dedicated to building safely and responsibly while 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, allowing 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 advanced training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. Our team operates at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are seeking 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 such as 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

Required Technical Skills

Strong programming proficiency in Python and Git version control
Expertise in deep learning frameworks including PyTorch, JAX, and TensorFlow
Hands-on experience with large-scale distributed training of LLMs and VLMs
Demonstrated experience with LLM training, alignment, and reinforcement learning
Knowledge of multimodal architectures and real-world applications

Required Research Qualifications

Publications in top-tier AI conferences such as NeurIPS, ICML, CVPR, ACL, or ICCV
Advanced degree (PhD or MSc) in a relevant field including Machine Learning, Deep Learning, Natural Language Processing, or Computer Vision
Strong foundation in machine learning theory and practical implementation

This is an exceptional opportunity to work on frontier AI research with a team committed to building the next generation of intelligent systems. You'll have access to cutting-edge infrastructure and collaborate with some of the best minds in artificial intelligence.

💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience and location.

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Open Positions (3)

Staff Engineer - AI Agents & Inference Platforms

Member of Technical Staff (Inference)

Member of Technical Staff - Research - Model