Design, train, and evaluate multimodal foundation models that enable multi-robot mission execution
Drive model development decisions including model architectures, data mixtures, curriculum design, and training recipes informed by rigorous experimentation
Curate and generate large-scale training datasets from both synthetic and real-world data engines
Develop memory, communication, planning, and tool-use capabilities for AI agents operating across teams of robots
Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable rapid iteration across the team
Build and improve simulation environments targeted for synthetic data generation, evaluation, and reinforcement learning
Translate foundational research into deployable, real-time perception and decision-making systems
Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard autonomy stacks
Conduct field trials and mission operations to validate system performance e under real-world constraints
Qualifications
6+ years of hands-on experience building and deploying AI models, including 2+ years working with multimodal models or agentic AI systems
Proficiency in Python, PyTorch, and modern machine learning infrastructure
Experience training, finetuning, and evaluating large-scale deep learning models using distributed compute infrastructure
Demonstrated experience improving model performance through data curation, training strategy, evaluation design, and rigorous experimentation
Solid grasp of modern model training techniques including SFT, DPO, RLVR
Demonstrated ability to take research from prototype to product in fast-moving environments
BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related technical field, or equivalent practical experience. Advanced graduate research in AI, robotics, or machine learning is a plus
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Bonus: Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems
Must be a U.S. Person due to required access to U.S. export controlled information or facilities
Passion about defense of the United States and its allies
May be expected to obtain and hold a U.S. Top Secret security clearance
Why Join Scout
Work on the world’s most important frontier, ensuring U.S. and allied dominance in the age of intelligent machines
Be a core part of a team building the first defense-specific robotic foundation model
Collaborate with some of the top engineers in autonomy, AI, and national security
See your work deployed on real systems
Help define the future of intelligent defense systems
Backed by Draper Associates, Booz Allen Ventures, and other top investors
Benefits
Competitive compensation package including base salary and bonus
Meaningful equity
Premium medical, dental, and vision plans with $0 paycheck contribution
Competitive PTO and company holiday calendar
Catered lunch daily and fully stocked kitchen
EV charging
Relocation assistance (depending on role eligibility)
The stated salary range below represents an estimated base pay only and reflects consideration of multiple compensation factors. Final salary offers may differ depending on factors including, but not limited to, relevant experience or training background, specialized skills, and business needs. Most full-time positions also include highly competitive equity awards, which form part of Scout AI's overall compensation package. In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees.
About Scout AI
Robotics
Scout AI builds vision-language-action models and autonomous robotic systems that enable robots to perceive, reason, and act in real-world environments.