Senior AI Engineer

🕒 vor 28 Tagen

🏄 California – Remote

🏄 California – Remote

💵 $200.000 - $400.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

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Scout AI

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2024

🏭 Fertigung

💼 Beratung

🎖️ Verteidigung

Manufacturing • Consulting • Defense

Scout AI ist ein auf Verteidigung ausgerichtetes Robotik- und KI-Unternehmen, das Grundmodelle und am Rand einsetzbare Autonomie-Software für unbemannte Systeme entwickelt. Seine Fury-Familie bietet plattformunabhängige, visuelle KI für kollaborative Missionsautonomie, ermöglicht eine natürliche Sprachkoordination von Roboter zu Roboter, Echtzeitbetrieb in GPS- und kommunikationsfreien Umgebungen, die Integration von stromsparender COTS-Hardware und sichere Over-the-Air-Updates. Das Unternehmen richtet sich an militärische und staatliche Kunden mit KI-gestützten unbemannten Bodenfahrzeugen und anderen robotischen Plattformen.

Beschreibung

• 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

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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)