Legal Counsel: Government contracting, Compliance & Safety at Scout AI

Sunnyvale, California, United States -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

255000.0

Posted On

02 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

VLA Models, Multimodal Fusion, Continual Learning, Domain Adaptation, AI Agents, Perception, Decision-Making Systems, ML Pipelines, Onboard Autonomy, Training, Simulation, Inference, VLMs, RL, CV, Autonomous Agents

Industry

Defense and Space Manufacturing

Description

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. 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 Qualifications 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 Bonus: Experience with embodied AI systems or mission-oriented deployments (DoD, aerospace, robotics) Legal authorization to work in the United States is required. Certain job duties may involve access to U.S. export-controlled information 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 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. US Salary Range $190,000—$255,000 USD

Responsibilities

The role involves designing, training, and evaluating state-of-the-art Vision-Language-Action (VLA) models for robotic systems and implementing scalable architectures for multimodal fusion and adaptation. Responsibilities also include developing faculties for AI agents and translating foundational research into deployable, real-time perception and decision-making systems.