RL Engineer — AI-Driven Data Center Optimization

Hammerhead AI; Redwood City (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Bonus

401(k) plan

Equity in the startup

Health, dental, and vision coverage

Job summary

Hammerhead AI in Redwood City, California is seeking a Reinforcement Learning Engineer to design, train, and deploy RL agents for their ORCA platform. This position requires expertise in advanced RL methods and at least 3 years of applied experience in industrial automation or similar fields. Candidates should be proficient in Python and ML frameworks like PyTorch. The role offers competitive compensation, benefits, and the opportunity to work on cutting-edge AI technologies in a high-growth environment.

Qualifications

• 3+ years applying RL to real-world problems, especially in industrial settings.
• Experienced in design and implementation of RL algorithms.
• Strong background in simulation and training of RL agents.

Responsibilities

• Design and implement advanced RL algorithms for data center control.
• Build and train RL agents that generalize to real-world systems.
• Lead transition of RL models from research to live deployment.
• Analyze agent performance for continuous improvement in strategies.
• Collaborate with engineers to support scaling of RL agents.

Skills

Reinforcement Learning algorithms development

Python programming

Machine Learning frameworks (PyTorch, TensorFlow)

Real-world problem solving

Education

MS or PhD in Computer Science or related field

Tools

RL libraries (Ray RLlib, Isaac Gym)

Job description

Hammerhead AI in Redwood City, California is seeking a Reinforcement Learning Engineer to design, train, and deploy RL agents for their ORCA platform. This position requires expertise in advanced RL methods and at least 3 years of applied experience in industrial automation or similar fields. Candidates should be proficient in Python and ML frameworks like PyTorch. The role offers competitive compensation, benefits, and the opportunity to work on cutting-edge AI technologies in a high-growth environment.