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See allResponsibilities:
- 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
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
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
- See your work deployed on real systems
Scout AI
Scout AI develops Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. They are a startup with a mission that demands urgency, precision, and relentless work, offering a rare opportunity to architect the future of defense.