RL Engineer: Real-Time AI Control for Data Center Power

HammerheadAI, Inc.; Redwood City (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive health insurance

401(k) plan

Equity in the company

Job summary

A leading AI infrastructure company in Redwood City is seeking a Reinforcement Learning Engineer. In this role, you will design and implement advanced reinforcement learning algorithms for the ORCA platform, optimizing power and compute resources in data centers. The ideal candidate has over 3 years of experience in RL applications, is proficient in Python, and holds a master's or doctoral degree in a related field. Competitive salary, bonus, and equity are offered in a growing startup environment.

Qualifications

• 3+ years of experience in reinforcement learning applications.
• Proven track record in industrial automation or related fields.
• Strong theoretical background in reinforcement learning and real-world systems.

Responsibilities

• Design and implement advanced reinforcement learning algorithms for data center control.
• Lead RL models transition from research to live deployment.
• Analyze performance and improve control strategies continuously.

Skills

Reinforcement learning algorithms

Python

ML frameworks (PyTorch, Jax, TensorFlow)

Industrial automation expertise

Education

MS or PhD in Computer Science, Robotics, Operations Research

Tools

Ray RLlib

Isaac Gym

Job description

A leading AI infrastructure company in Redwood City is seeking a Reinforcement Learning Engineer. In this role, you will design and implement advanced reinforcement learning algorithms for the ORCA platform, optimizing power and compute resources in data centers. The ideal candidate has over 3 years of experience in RL applications, is proficient in Python, and holds a master's or doctoral degree in a related field. Competitive salary, bonus, and equity are offered in a growing startup environment.