5 months ago
Sunnyvale, CA, USAMid Level
Base Salary
$160k - $400k/yr
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 capabilities for AI agents
- Translate foundational research into deployable, real-time perception and decision-making systems
- Integrate ML pipelines with onboard autonomy across engineering, robotics, and mission teams
- Develop and maintain codebases for training, simulation, and real-world inference
- Conduct experiments to benchmark performance and robustness in diverse, unstructured environments
- Track and incorporate developments from literature in VLMs, reinforcement learning, computer vision, and autonomous agents
- Support field trials and mission operations to validate model performance under real-world constraints
Requirements
- At least 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 including VLMs, transformers, or agents
- Proficiency in Python and frameworks such as PyTorch or TensorFlow; JAX, CUDA, and real-time inference experience are bonuses
- Understanding of distributed training, fine-tuning, and reinforcement learning
- Bachelor’s degree or higher in Computer Science, AI, or a related technical field; an MS or PhD is preferred
- Ability to take research from prototype to product in fast-moving environments
- Must be a U.S. Person due to required access to U.S. export-controlled information or facilities
- Experience with embodied AI systems or mission-oriented DoD, aerospace, or robotics deployments is a bonus
Benefits
- Competitive compensation package including base salary and bonus, plus 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
- Full-time position with benefits
Categories
ML EngineeringRobotics
About Scout AI
Scout AI builds defense-focused AI software for unmanned ground, air, sea, and space systems. Its core product, the Fury foundation model, enables operators to command robotic platforms in natural language and coordinate autonomous behaviors; Scout also integrates the software with fielded payloads and compute. Founded in 2024 and headquartered in Sunnyvale, California, the privately held company is venture-backed by investors including Booz Allen Ventures and Draper Associates.