Reinforcement Learning Engineer

About the role

As a Reinforcement Learning Engineer, you will be the architect of the core intelligence for Hammerhead’s ORCA platform. Reporting to the Head of AI / Reinforcement Learning Engineering, you will design, train, and deploy the Orchestrated RL Control Agents that form the brain of our system, making real-time decisions to optimize power and compute resources across physical data centers.

Responsibilities

• Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure.
• Build and train RL agents that can generalize to real-world, physical systems. From Lab to Production: Lead the transition of RL models from research and simulation to live deployment within the ORCA platform, ensuring stability and performance on mission-critical hardware.
• Analyze agent performance to continuously improve control strategies for tasks like peak shaving, workload shifting, and thermal management.
• Partner with platform engineers to define the APIs, data telemetry, and infrastructure needed to support and scale our RL agents across a global portfolio of data centers.

Qualifications

• Proven experience developing and implementing reinforcement learning algorithms, demonstrated through publications in top conferences (e.g., NeurIPS, ICML, ICLR), open-source contributions, or shipped products.
• 3+ years of experience applying RL to real-world problems, preferably in industrial automation, robotics, autonomous vehicles, energy systems, or other physical systems.
• Deep proficiency in Python and modern ML frameworks such as PyTorch, Jax, or TensorFlow. Experience with simulation platforms and RL libraries (e.g., Ray RLlib, Isaac Gym) is a plus.
• MS or PhD in Computer Science, Robotics, Operations Research, or a related field with a focus on machine learning or control theory.
• You possess a strong theoretical background but are driven by practical application, with an ability to bridge the gap between RL theory and the constraints of physical, real-world systems.

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.

To apply, visit our Careers page at hammerheadco dot ai / careers.