Scout AI (scoutco.ai) Logo

Scout AI (scoutco.ai)

Senior AI Engineer

Reposted One Month Ago
In-Office or Remote
Hiring Remotely in Sunnyvale, CA, USA
200K-400K Annually
Senior level
In-Office or Remote
Hiring Remotely in Sunnyvale, CA, 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
  • 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 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)

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
HQ

Scout AI (scoutco.ai) Sunnyvale, California, USA Office

Sunnyvale, California, United States, 94089

Similar Jobs

5 Hours Ago
Remote
United States
242K-288K Annually
Senior level
242K-288K Annually
Senior level
Healthtech • Social Impact • Software • Telehealth
Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.
Top Skills: Artificial IntelligenceExperimentationFeature EngineeringFoundation ModelsGenerative AiMachine LearningMatching SystemsMl InfrastructureMl PipelinesModel EvaluationModel ServingModel TrainingObservabilityPersonalization SystemsPythonRanking SystemsRecommendation SystemsSearch Systems
8 Hours Ago
Remote or Hybrid
San Francisco, CA, USA
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns technical relationships with enterprise customers, designing and implementing AI solutions on the Moveworks Platform. Responsibilities include architecture, API integrations, workflow automation, customer advisory, implementation leadership, product feedback, and reusable solution development. The role requires frequent customer engagement, executive communication, collaboration with engineering and product teams, and travel up to 25%.
Top Skills: Aws LambdaAzure FunctionsContext EngineeringGoJavaScriptJIRALinuxLlmsMoveworks PlatformOktaPrompt EngineeringPythonRest ApisServicenowServicenow Flow DesignerWindowsWorkatoWorkday
20 Hours Ago
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Design and implement AI agents, plugins, automations, and enterprise integrations for HR Technology platforms. Lead requirements gathering, technical analysis, solution design, testing, documentation, deployment, security, and data integrity efforts across HR, IT, and business stakeholders. Integrate platforms including ServiceNow, Workday, and other enterprise applications while supporting the HR automation and AI roadmap.
Top Skills: APIsAutomation AnywhereAWSAzureConcurGCPKnimeServicenowServicenow RpaUipathWorkdayWorkday Hcm

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account