Applied AI Engineering Manager, CHAOS Industries

• You must bring a strong record of applying AI in operational or productized environments, ideally in highly regulated or mission-driven sectors like aerospace, defense, or critical infrastructure
• Degree in Computer Science, Machine Learning, Artificial Intelligence, or related technical discipline
• 10+ years of experience in AI/ML development, with at least 5 years leading technical teams
• Proven track record of deploying AI solutions in production or operational systems, not just in research settings
• Experience with embeddings, RAG, RLHF, prompt engineering, and fine tuning
• Deep expertise in applied ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex, and JAX), and experience with model lifecycle, deployment, and MLOps pipelines
• Familiarity with embedded, edge, or resource-constrained AI environments
• Strong knowledge of reinforcement learning, NLP, or signal processing
• Experience interfacing with databases (SQL, MongoDB, etc.)
• Must be able to work onsite 4–5 days per week in San Francisco, Hawthorne, or Seattle

Desirable

• We are seeking a highly experienced and mission-oriented Applied AI Engineering Lead to drive the development, integration, and deployment of AI/ML-powered capabilities across CHAOS’ product lines
• This individual will lead a high-caliber team of researchers and engineers, to ensure advanced AI research translates into tangible, real-world systems especially in defense applications
• Lead Applied AI Initiatives: Translate cutting-edge AI/ML research into deployable solutions, bridging the gap between academic innovation and operational impact
• Team Leadership: Manage, mentor, and inspire a team of PhD-level AI engineers and ML researchers. Foster a culture of experimentation, rigor, and real-world delivery
• System Architecture & Integration: Architect scalable AI solutions for perception, decision-making, sensor fusion, predictive analytics, and autonomous operations
• Productization of AI: Ensure AI models are robust, interpretable, testable, and performant under real-world conditions—especially in adversarial, low-power, or edge-deployed environments
• Cross-functional Collaboration: Work closely with systems, software, hardware, and product teams to define AI requirements, develop interfaces, and integrate capabilities into platforms
• Stakeholder Engagement: Represent CHAOS in technical briefings, customer discussions, and strategy sessions with government and industry partners
• Hands-On Development: While this is a leadership role, we value technical engagement. You should be comfortable rolling up your sleeves when needed
• Work onsite 4-5 days per week out of our offices in San Francisco, Hawthorne, or Seattle
• Travel up to 20% as needed to support program and customer objectives