Head of AI / Reinforcement Learning Engineering
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- Strategic AI Leadership: Define the roadmap for Hammerhead's AI capabilities, moving from single-asset optimization to full-facility autonomous orchestration that coordinates cooling, power, and compute agents.
- Team Building & Management: Recruit, mentor, and lead a high-performing team of RL scientists, simulation engineers, and ML infrastructure experts, fostering a culture of rigor and rapid experimentation.
- Core Algorithm Development: Oversee the R&D of advanced RL architectures (e.g., Multi-Agent RL, Offline RL, Model-Based RL) capable of safe, sample-efficient learning in environments where failure is not an option.
- Simulation-to-Reality Gap: Champion the development of high-fidelity digital twins and "Sim2Real" transfer methodologies to ensure agents trained in simulation perform safely and effectively on physical hardware.
- Executive Collaboration: Partner with the executive team to translate business goals (e.g., 30% capacity unlock) into technical metrics and deliverables, while communicating AI strategy to investors and key enterprise customers.
- Technical Authority: PhD or equivalent research experience in Computer Science, Control Theory, or Robotics, with a strong publication record in top-tier venues (NeurIPS, ICML, ICLR) focusing on Reinforcement Learning.
- Leadership Experience: 7+ years of industry experience, with at least 3 years managing AI/ML teams tackling real-world problems—preferably in robotics, autonomous systems, industrial control, or energy.
- Industrial RL Focus: Proven track record of deploying RL or advanced control systems (MPC) into production environments; you understand safety constraints, reward shaping for physical systems, and the challenges of non-stationary environments.
- Architectural Vision: Ability to design end-to-end ML systems, from data ingestion (telemetry from SCADA/IoT) to training infrastructure and edge deployment.
- Mission Alignment: Passionate about solving the global energy bottleneck for AI; you are driven to use your skills to decarbonize compute and build the sustainable infrastructure of the future
- Competitive salary, bonus, 401(k) plan and equity in a rapidly growing startup
- Comprehensive health, dental, and vision coverage
- Opportunity to apply the latest AI technologies working with an experienced team
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