Senior AI Researcher

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.

• →Conduct original research in embodied AI, including learning from warfighter demonstration, reinforcement learning, memory, reward, vision-language modeling, and world modeling
• →Build, test, and benchmark large-scale models for perception, decision-making, and control in simulated and physical environments
• →Investigate transfer learning and continual learning paradigms across diverse robotic domains
• →Collaborate with engineering, robotics, and field teams to integrate research into operational systems
• →Lead research strategy and roadmap across key areas of autonomy and machine learning
• →Support field tests and data collection campaigns to evaluate system performance in realistic environments

• PhD in Computer Science, Robotics, Machine Learning, or a related field plus 4+ years of applied research experience (industry, postdoc, or lab), or 8+ years of equivalent industry research experience without a PhD
• Strong publication record in top-tier venues
• Deep expertise in one or more of the following: reinforcement learning, imitation learning, vision-language models, sim-to-real, world modeling, or agentic AI
• Hands-on experience building and evaluating models for embodied agents or autonomous systems
• Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
• Experience working with large-scale datasets and high-dimensional sensor inputs
• Demonstrated ability to take ideas from research concept to deployed prototype
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities