Senior AI Engineer

🕒 July 8

🏄 California – Remote

🏄 California – Remote

💵 $200k - $400k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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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 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

🎯 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. 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.

🏖️ 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)