{"schemaVersion":"jobsearcher.job.v1","id":"a0da424eae6b8322e4834181","url":"https://jobsearcher.com/jobs/a0da424eae6b8322e4834181","canonicalUrl":"https://jobsearcher.com/jobs/a0da424eae6b8322e4834181","title":"Remote AI Engineer","description":"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. Model training and evaluation~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.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~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 constraints6+ 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~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~S. export controlled information or facilitiesCompetitive 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~Relocation assistance (depending on role eligibility)","company":"Scout Ai","rawCompany":"scout ai","isRemote":true,"isActive":false,"createdAt":"2026-08-02T02:51:54.945Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Remote AI Engineer","description":"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. Model training and evaluation~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.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~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 constraints6+ 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~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~S. export controlled information or facilitiesCompetitive 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~Relocation assistance (depending on role eligibility)","datePosted":"2026-08-02T02:51:54.945Z","dateModified":"2026-08-02T02:51:54.945Z","hiringOrganization":{"@type":"Organization","name":"Scout Ai","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a0da424eae6b8322e4834181"},"url":"https://jobsearcher.com/jobs/a0da424eae6b8322e4834181"}}