AI Researcher

Job description

Job responsibilities

• 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

Job requirements

• PhD in Computer Science, Robotics, Machine Learning, or a related field (or equivalent industry research experience)
• 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