Senior AI Engineer

🔥 10 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $200k - $400k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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Scout AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🏭 Manufacturing

💼 Consulting

🎖️ Defense

Manufacturing • Consulting • Defense

Scout AI is a defense-focused robotics and artificial intelligence company that develops foundation models and edge-deployable autonomy software for unmanned systems. Its Fury family provides vision-based, platform-agnostic AI for collaborative mission autonomy, enabling robot-to-robot natural language coordination, real-time operation in GPS- and communications-denied environments, low-power COTS hardware integration, and secure over-the-air updates. The company targets military and government customers with AI-enabled unmanned ground vehicles and other robotic platforms.

📋 Description

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

🎯 Requirements

• 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 • Bonus: Experience building closed-loop simulation, evaluation, or reinforcement learning environments for agentic or physical AI systems

🏖️ Benefits

• 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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