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Scout AI

Senior AI Engineer

RemoteUnited States only
Published
Role
Fullstack
Experience
Senior
$200k–$400k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

We're looking for a Senior or Staff AI Engineer to join the Fury Orchestration Team with a deep passion for developing and deploying multimodal foundation models that power autonomous teams of robots. Your work will directly influence how our system reasons, plans, remembers and coordinates across multiple robots to accomplish long-horizon missions.

Core skills

Python/PyTorch/Machine learning infrastructureSFT (Supervised Fine-Tuning) (as a technique, but not a tool; keep as skill? No, it's a method, not a technology. Exclude.)

Required skills

Distributed compute infrastructureSFT (Supervised Fine-Tuning)/DPO (Direct Preference Optimization)/RLVR (Reinforcement Learning with Verifiable Rewards)

Optional skills

Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systemsAdvanced graduate research in AI, robotics, or machine learning

Required languages

English unknown

What you'll do

  • Design, train, and evaluate multimodal foundation models that enable multi-robot mission execution
  • Drive model development decisions including model architectures, data mixtures, curriculum design, and training recipes informed by rigorous experimentation
  • Curate and generate large-scale training datasets from both synthetic and real-world data engines
  • Develop memory, communication, planning, and tool-use capabilities for AI agents operating across teams of robots
  • Be obsessed with evaluation: design benchmarks, metrics, and testing methodologies that enable rapid iteration across the team
  • Build and improve simulation environments targeted for synthetic data generation, evaluation, and reinforcement learning
  • Translate foundational research into deployable, real-time perception and decision-making systems
  • Collaborate across engineering, robotics, and mission teams to integrate AI systems with onboard autonomy stacks
  • Conduct field trials and mission operations to validate system performance under real-world constraints

What they require

  • 6+ years of hands-on experience building and deploying AI models, including 2+ years working with multimodal models or agentic AI systems
  • Proficiency in Python, PyTorch, and modern machine learning infrastructure
  • Experience training, finetuning, and evaluating large-scale deep learning models using distributed compute infrastructure
  • Demonstrated experience improving model performance through data curation, training strategy, evaluation design, and rigorous experimentation
  • Solid grasp of modern model training techniques including SFT, DPO, RLVR
  • Demonstrated ability to take research from prototype to product in fast-moving environments
  • BS, MS, or PhD in Computer Science, Engineering, Mathematics, Physics, or related technical field, or equivalent practical experience
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
  • Passion about defense of the United States and its allies
  • May be expected to obtain and hold a U.S. Top Secret security clearance

Benefits

  • Competitive compensation package including 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)

Scout AI is developing Fury, the first robotic foundation model for defense, to give U.S. forces autonomous robotic capabilities across every domain.

DefenseStartup
$200k–$400k/yr