AI Engineer

AI EngineerMachine Learning EngineerFull TimeRemote

Location

United States

Posted

12 days ago

Salary

Not specified

No structured requirement data.

Job Description

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. This role may be based remotely for the right candidate. 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

Job 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
  • 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

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)

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