Member of Technical Staff - Research - Agent

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 Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches for training artificial general agents, working closely with the LLM/VLM and Safety teams to explore new directions. This is a heavily engineering-focused role embedded within the research team, requiring you to define architecture and build robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI.

Key Responsibilities

• Research & Leadership: Design and develop new agents, proposing new research directions by combining state-of-the-art reinforcement learning with foundation models (LLMs/VLMs)
• Algorithm & Systems Design: Design, implement, and scale complex, high-performance systems for training large-scale agents, including foundational infrastructure, novel algorithms, reward models, and sophisticated training environments
• Research-to-Production: Collaborate closely with researchers and engineers to implement, test, and productionize new agent logics, learning algorithms, and system architectures
• Evaluation & Reliability: Create, manage, and scale massive benchmarks and evaluation systems to rigorously track agent capabilities. Own system reliability, scalability, and observability for the entire research infrastructure
• Mentorship & Standards: Mentor and guide other engineers and researchers on the team, fostering technical excellence. Establish and enforce engineering standards, tooling, and best practices for both code and research design
• Innovation: Conduct thorough code and design reviews, champion technical innovation, and proactively address technical debt to accelerate the R&D lifecycle

Requirements

• Senior Experience: Demonstrable role(s) as a Staff, Principal, or Senior Engineer (or equivalent Research Scientist) in a Frontier AI Lab with proven track record of leadership
• Technical Expertise: Deep experience with reinforcement learning, LLMs/VLMs, distributed systems, and high-performance computing infrastructure
• Systems Design: Ability to architect and build scalable training systems, benchmarking frameworks, and evaluation pipelines
• Research Acumen: Strong understanding of cutting-edge AI research with ability to translate theory into practical implementations
• Engineering Excellence: Commitment to code quality, best practices, and mentoring others to maintain high engineering standards

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