# Reinforcement Learning Engineer - Company: [Hammerhead Ai]() - Location: Redwood City - Team: Engineering - Employment type: Full Time - Posted: December 18, 2025 ## Job description # 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 AutoGrid alums want to change how data centers use power](https://www.latitudemedia.com/news/these-autogrid-alums-want-to-change-how-data-centers-use-power/) * [How Hammerhead Wants to Rewrite the Economics of AI](https://traded.co/vc/articles/how-hammerhead-wants-to-rewrite-the-economics-of-ai/) * [News & Blogs](https://hammerheadco.ai/news-and-blogs/) # Role Description 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. This role is for a hands-on expert who is passionate about applying cutting-edge RL research to complex, real-world industrial systems. You will be instrumental in developing the models that control physical assets like cooling systems and power distribution units to unlock massive efficiency gains in AI workloads. # Key Responsibilities * RL Model Development: 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. * Simulation and Training: 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. * System Optimization: Analyze agent performance to continuously improve control strategies for tasks like peak shaving, workload shifting, and thermal management.​ * Cross-Functional Collaboration: 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 * RL Expertise: 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. * Industry Experience: 3+ years of experience applying RL to real-world problems, preferably in industrial automation, robotics, autonomous vehicles, energy systems, or other physical systems. Experience from a leading industrial or academic RL lab is highly desirable. * Technical Skills: 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. * Educational Background: MS or PhD in Computer Science, Robotics, Operations Research, or a related field with a focus on machine learning or control theory. * Problem Solver: 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** **Visit our Careers page at (hammerheadco dot ai / careers) to apply** ## Apply [Apply on Hammerhead Ai]() Canonical job page: