Head of AI​/Reinforcement Learning Engineering

Head of AI / Reinforcement Learning Engineering

Join to apply for the Head of AI / Reinforcement Learning Engineering role at Hammerhead

AI, Inc.

About Hammerhead

We're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting‑edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission‑critical power globally, and we're addressing a $64 billion‑per‑year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.

At Hammerhead, you will:

• ⚡ Work at the intersection of AI, energy, and compute creating the next generation AI infrastructure

• Collaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies

• Contribute to building a more efficient and sustainable future for AI compute.

• Join a company at the cutting edge of modern data center design and operation

• Receive competitive compensation, equity, and benefits in a high‑growth, mission‑driven environment.

• Learn from an experienced team that has built and sold startups before

Learn More About Hammerhead

• These Auto Grid alums want to change how data centers use power

• How Hammerhead Wants to Rewrite the Economics of AI

• News & Blogs

Role Description

As the Head of Reinforcement Learning & AI, you will lead the scientific and engineering vision for the “brain” of Hammerhead—ORCA (Orchestrated RL Control Agents). Reporting directly to the CTO, you will build and manage a world‑class team of researchers and engineers to develop the autonomous agents that control gigawatt‑scale critical infrastructure in real‑time. Your mandate is to maximize token generation from fixed power assets by solving complex multi‑objective optimization problems that balance thermal limits, power availability, and computational throughput.

This is a high‑stakes leadership role where your algorithms will directly dictate the physical operation of multi‑million dollar data centers.

Key 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 “Sim2

Real” 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.

Qualifications

• 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.

What we offer

• 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

Join our team to shape the foundation of tomorrow’s AI infrastructure

Visit our Careers /careers to apply.

Seniority level

Executive

Employment type

Full‑time

Job function and Industries

Engineering and Information Technology;
Software Development

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