💼 About This Role

You'll lead a lean, high-performing team of research scientists and engineers at FieldAI, developing risk-aware, field-ready AI systems for robots in Boston. Your core impact will be defining and executing the robotics AI research roadmap, guiding programs from early research through real-world deployment on physical robots. This role combines deep technical leadership with people management, offering the chance to shape the future of robotic autonomy.

🎯 What You'll Do

• Define and execute the robotics AI research roadmap aligned with product goals.
• Recruit, mentor, and manage a multidisciplinary team of researchers and engineers.
• Lead projects from problem definition through simulation, on-robot testing, and field deployment.
• Collaborate with product, engineering, and operations to integrate research into production systems.

📋 Requirements

• PhD in Computer Science, Robotics, AI, or related field or equivalent experience.
• 8+ years delivering impactful research in robotics AI or machine learning.
• 4+ years of leadership experience managing research and engineering teams.
• Direct, hands-on experience developing and deploying AI models on humanoid or quadruped robots.

✨ Nice to Have

• Experience with large-scale field robotics deployments.
• Deep expertise in robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems.
• Demonstrated success with sim-to-real transfer on legged or humanoid platforms.

🚩 Heads Up

• Salary range is extremely broad ($70k-$300k), suggesting potential mismatch between roles or unclear expectations.
• Requires PhD yet 8+ years experience and 4+ years leadership, which may overqualify typical candidates.
• Mentions 'humanoid' explicitly even though the company's focus is broader, possibly indicating unrealistic hype.