Note: The job is a remote job and is open to candidates in USA. Scout AI is developing Fury, the first robotic foundation model for defense, aimed at enhancing U.S. military capabilities. They are seeking a Senior AI Engineer to work on multimodal foundation models that power autonomous teams of robots, influencing system reasoning, planning, and coordination across multiple robots.
Responsibilities
- 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 under real-world constraints
Skills
- 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
- Must be a U.S. Person due to required access to U.S. export controlled information or facilities
- Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems
- Advanced graduate research in AI, robotics, or machine learning is a plus
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
- Unlimited AI tokens
- Catered lunch daily and fully stocked kitchen
- EV charging
- Relocation assistance (depending on role eligibility)
Company Overview