Head of AI / Reinforcement Learning Engineering jobs in United States
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HammerheadAI, Inc. · 1 month ago

Head of AI / Reinforcement Learning Engineering

HammerheadAI, Inc. is a pioneering company focused on optimizing AI infrastructure for data centers. The Head of Reinforcement Learning & AI will lead the vision for ORCA, managing a team to develop autonomous agents for real-time control of critical infrastructure, while maximizing token generation from power assets.

Artificial Intelligence (AI)Machinery ManufacturingSoftware Engineering

Responsibilities

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

Qualification

Reinforcement LearningAI LeadershipControl TheoryRoboticsMachine LearningIndustrial ControlEnd-to-End ML SystemsSimulation EngineeringDigital TwinsTeam ManagementCommunication Skills

Required

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
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
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
Ability to design end-to-end ML systems, from data ingestion (telemetry from SCADA/IoT) to training infrastructure and edge deployment
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

Benefits

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

Company

HammerheadAI, Inc.

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Hammerhead AI is turning today’s power‑limited AI factories into high‑throughput token engines by using reinforcement learning agents to orchestrate compute, cooling, and power.

Funding

Current Stage
Early Stage
Total Funding
$10M
Key Investors
Buoyant Ventures
2025-11-18Seed· $10M
Company data provided by crunchbase