AI Engineer - Fury Team

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

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)

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

Design, train, and evaluate state-of-the-art VLA models for robotic systems

Develop dynamic memory, communication, and tool use faculties for AI agents

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