Legal Counsel: Government contracting, Compliance & Safety

Scout AI•Sunnyvale, CA

3h•Remote

About The Position

The future of defense will be decided by those who field intelligent machines at scale. At Scout, 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. It’s not just a leap in autonomy, it’s a force multiplier built for real-world conflict. This mission will ask everything of us: urgency, precision, and relentless work. The Role We're looking for an AI Engineer to join the Fury Team with a deep passion for building next-generation autonomous systems. You’ll work across the stack of perception, reasoning, and control, helping architect and deploy cutting-edge multimodal models that will become the cognitive engine of our robotic platforms. Your work will run on robots in complex, adversarial environments. Expect to move fast, test ideas aggressively, and break new ground as we create the first robotic foundation model for defense. We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense. This role may be based remotely for the right candidate.

Requirements

2+ years of hands-on experience building and deploying AI models, ideally in agentic AI, robotics, autonomous systems, or real-time applications
Strong background in computer vision, deep learning, or multimodal architectures (VLMs, transformers, or agents)
Proficiency in Python and frameworks like PyTorch or TensorFlow; bonus for JAX, CUDA, or real-time inference experience
Solid grasp of modern model training techniques including distributed training, fine-tuning, and reinforcement learning
Bachelor's degree or higher in Computer Science, AI, or related technical field, MS/PhD preferred
Demonstrated ability to take research from prototype to product in fast-moving environments
Legal authorization to work in the United States is required. Certain job duties may involve access to U.S. export-controlled information

Nice To Haves

Experience with embodied AI systems or mission-oriented deployments (DoD, aerospace, robotics)

Responsibilities

Design, train, and evaluate state-of-the-art VLA models for robotic systems
Implement scalable architectures for multimodal model fusion, continual learning, and domain adaptation
Develop dynamic memory, communication, and tool use faculties for AI agents
Translate foundational research into deployable, real-time perception and decision-making systems
Collaborate across engineering, robotics, and mission teams to integrate ML pipelines with onboard autonomy
Develop and maintain codebases for training, simulation, and real-world inference
Conduct experiments to benchmark performance and robustness in diverse, unstructured environments
Track, digest, and incorporate breakthroughs from the latest literature in VLMs, RL, CV, and autonomous agents
Support field trials and mission operations to validate model performance under real-world constraints