Head of Computer Use/ AI Engineer

Edward Mann are hiring for an excellent Technology Start-up based in San Francisco.

About the Role

We are seeking a Head of Computer Use / Senior AI Engineer (hands on role). Driving the evolution of the next generation of browser agents (testing browser agents).

To lead the design, training, and advancement of next-generation AI agent systems. This role involves fine-tuning large language models (LLMs) and developing intelligent agents capable of navigating and interacting with real web environments. It’s a high-impact position combining hands-on engineering, experimentation, and strategic input. You’ll collaborate closely with technical leadership, contribute directly to product direction, and mentor other engineers in developing advanced agent capabilities.

Key Responsibilities

• Develop, train, and deploy LLM-powered agents that interact with websites through real browser interfaces.
• Fine-tune foundation models using advanced methods (e.g., LoRA, PEFT, DPO, RLHF) and select the best approach for each use case.
• Design reinforcement learning systems that improve agent reasoning, adaptability, and task performance.
• Own the full agent pipeline—from model architecture and policy design to simulation frameworks and testing environments.
• Rapidly prototype, run experiments, and refine solutions to push the limits of agent performance.
• Partner with technical leadership to shape product direction and research priorities.
• Mentor and support other engineers, helping to grow a strong, mission-driven technical team.
• Build and coordinate multi-agent workflows with structured roles, memory systems, and effective trajectories.

What You’ll Bring

• Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science.
• Hands-on experience fine-tuning LLMs.
• Deep applied knowledge of reinforcement learning techniques.
• Experience building agents for real-world applications (bonus: browser-based or robotics experience).
• Strong coding and experimentation skills, with a preference for practical problem-solving over theory alone.
• A sense of ownership and drive to build impactful systems beyond titles or hierarchy.
• Experience mentoring, managing, or growing technical teams.

Preferred Qualifications

• Record of impactful research publications or open-source contributions.
• Experience in high-growth, fast-paced start-up environments.