JOB DETAILS
AI Researcher
CompanyScout AI
LocationSunnyvale
Work ModeOn Site
PostedApril 22, 2025
About The Company
No description available for this Company.
About the Role
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 hiring an AI Researcher on the Fury Team to help push the frontiers of embodied intelligence for autonomous defense systems. You will lead research in core areas including reinforcement learning, vision-language-action modeling, sim-to-real transfer, dynamic AI memory, and multi-agent coordination. Your work will be foundational to the development, training, and deployment of Fury.
This role sits at the intersection of cutting-edge ML research, real-world robotics, and defense. You'll translate foundational research into scalable, robust models that operate in unstructured, contested environments, from concept to deployment. We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense.
Responsibilities
Conduct original research in embodied AI, including learning from warfighter demonstration, reinforcement learning, memory, reward, vision-language modeling, and world modeling
Build, test, and benchmark large-scale models for perception, decision-making, and control in simulated and physical environments
Investigate transfer learning and continual learning paradigms across diverse robotic domains
Collaborate with engineering, robotics, and field teams to integrate research into operational systems
Lead research strategy and roadmap across key areas of autonomy and machine learning
Support field tests and data collection campaigns to evaluate system performance in realistic environments
Qualifications
PhD in Computer Science, Robotics, Machine Learning, or a related field (or equivalent industry research experience)
Strong publication record in top-tier venues
Deep expertise in one or more of the following: reinforcement learning, imitation learning, vision-language models, sim-to-real, world modeling, or agentic AI
Hands-on experience building and evaluating models for embodied agents or autonomous systems
Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
Experience working with large-scale datasets and high-dimensional sensor inputs
Demonstrated ability to take ideas from research concept to deployed prototype
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
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 Cash Compensation
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)
The Role
We’re hiring an AI Researcher on the Fury Team to help push the frontiers of embodied intelligence for autonomous defense systems. You will lead research in core areas including reinforcement learning, vision-language-action modeling, sim-to-real transfer, dynamic AI memory, and multi-agent coordination. Your work will be foundational to the development, training, and deployment of Fury.
This role sits at the intersection of cutting-edge ML research, real-world robotics, and defense. You'll translate foundational research into scalable, robust models that operate in unstructured, contested environments, from concept to deployment. We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense.
Responsibilities
Conduct original research in embodied AI, including learning from warfighter demonstration, reinforcement learning, memory, reward, vision-language modeling, and world modeling
Build, test, and benchmark large-scale models for perception, decision-making, and control in simulated and physical environments
Investigate transfer learning and continual learning paradigms across diverse robotic domains
Collaborate with engineering, robotics, and field teams to integrate research into operational systems
Lead research strategy and roadmap across key areas of autonomy and machine learning
Support field tests and data collection campaigns to evaluate system performance in realistic environments
Qualifications
PhD in Computer Science, Robotics, Machine Learning, or a related field (or equivalent industry research experience)
Strong publication record in top-tier venues
Deep expertise in one or more of the following: reinforcement learning, imitation learning, vision-language models, sim-to-real, world modeling, or agentic AI
Hands-on experience building and evaluating models for embodied agents or autonomous systems
Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
Experience working with large-scale datasets and high-dimensional sensor inputs
Demonstrated ability to take ideas from research concept to deployed prototype
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
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 Cash Compensation
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)
Key Skills
Reinforcement LearningVision-Language ModelsSim-to-RealWorld ModelingPythonPyTorch
Categories
EngineeringData
Benefits
EquityMedical insuranceDental insuranceVision insurancePaid time offRelocation assistance
Job Information
📋Core Responsibilities
Conduct original research in embodied AI, including reinforcement learning, vision-language-action modeling, sim-to-real transfer, memory, and multi-agent coordination; build and benchmark large-scale models and integrate research into operational robotic systems.
📋Job Type
full time
💰Salary Range
$160,000 - $400,000
📊Experience Level
5-10
💼Company Size
Not specified
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
Not specified
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