Scout AI (scoutco.ai) Logo

Scout AI (scoutco.ai)

Senior AI Engineer - Fury Team

Posted 2 Days Ago
Remote
Hiring Remotely in USA
200K-400K Annually
Senior level
Remote
Hiring Remotely in USA
200K-400K Annually
Senior level
Develop and deploy multimodal foundation models and agentic AI for multi-robot coordination. Design training recipes, curate datasets, build simulation and RL environments, evaluate performance, and integrate models into real-time robotic systems with field trials.
The summary above was generated by AI

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.

The Role

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. Depending on your background and interests, you’ll contribute across the stack: model training and evaluation, reinforcement learning, evaluation and simulation, reasoning and memory architectures, multi-agent coordination, and edge inference optimization. Expect to rapidly prototype ideas against rigorous evaluations, test ideas on real robotic mission rollouts, and break new ground as we create the first robotic foundation model for defense.

We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. You’ll have substantial ownership, influence over technical direction, and the opportunity to help build the future of autonomous defense systems from the ground up.

Responsibilities

  • 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 e under real-world constraints

Qualifications

  • 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. Advanced graduate research in AI, robotics, or machine learning is a plus.
  • Bonus: Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities

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
  • Collaborate with some of the top engineers in autonomy, AI, and national security
  • See your work deployed on real systems
  • Help define the future of intelligent defense systems
  • Backed by Draper Associates, Booz Allen Ventures, and other top investors

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
  • Unlimited AI tokens
  • Catered lunch daily and fully stocked kitchen
  • EV charging
  • Relocation assistance (depending on role eligibility)

The stated salary range below represents an estimated base pay only and reflects consideration of multiple compensation factors. Final salary offers may differ depending on factors including, but not limited to, relevant experience or training background, specialized skills, and business needs. Most full-time positions also include highly competitive equity awards, which form part of Scout AI's overall compensation package. In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees.

US Salary Range
$200,000$400,000 USD

Similar Jobs

6 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
186K-265K Annually
Senior level
186K-265K Annually
Senior level
Artificial Intelligence • Enterprise Web • Software • Design • Generative AI
Lead multi-year vision, strategy, and roadmap for Webflow's agent surfaces and AI platform. Align cross-functional teams, set quality standards and guardrails for non-deterministic agent experiences, serve both developers and creators, prototype and ship product improvements (including contributing code), and mentor PMs while measuring and iterating on outcomes.
Top Skills: Ai AgentsAPIsCode GenerationLlmsMcpPromptingWebflow
8 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
70K-90K Annually
Junior
70K-90K Annually
Junior
Fintech • Insurance • Machine Learning • Analytics • Financial Services • Automation
Manage a caseload of subrogation claims to maximize recoveries through investigation, liability evaluation, negotiation, and stakeholder communication. Develop action plans, issue notices, document progress, and assist recovery of overpayments across workers' compensation and commercial auto claims.
Top Skills: Collaboration ToolsGoogle SuiteMS Office
14 Minutes Ago
In-Office or Remote
United States
175K-184K Annually
Senior level
175K-184K Annually
Senior level
Software • App development
Serve as the CRO's second-in-command to align Sales, Marketing, Customer Success, and CX. Own the revenue tech stack, data governance, forecasting, reporting, lead lifecycle, and cross-functional initiatives to drive pipeline integrity, forecasting accuracy, and scalable GTM execution.
Top Skills: AmplitudeAvomaHightouchHubspotLookerSegment

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account