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Reinforcement Learning Engineer Salary Jobs (NOW HIRING)

Centific

Applied Reinforcement Learning Engineer

Applied Reinforcement Learning Engineer Location: Palo Alto, CA or Seattle, WA (Hybrid/Remote ... Salary: $150K - $300K Annually Centific is an equal-opportunity employer. All qualified applicants ...

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and ...

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How much do reinforcement learning engineer salary jobs pay per year?

As of Aug 11, 2026, the average yearly pay for reinforcement learning engineer salary in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Reinforcement Learning Engineer Salary vs Machine Learning Engineer Salary?

Reinforcement Learning Engineer SalaryMachine Learning Engineer Salary
Average salary varies based on experience, location, and industry, typically ranging from $100,000 to $150,000 annually.Average salary also varies widely, generally between $90,000 and $140,000 annually, depending on similar factors.

Both roles require strong programming skills, knowledge of machine learning frameworks, and experience with data analysis. Reinforcement Learning Engineers focus specifically on developing algorithms for decision-making tasks, while Machine Learning Engineers work on broader AI models. Salaries are comparable, with Reinforcement Learning Engineers often earning slightly more in specialized industries.

What is the salary of reinforcement learning engineer?

The salary of a reinforcement learning engineer typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often including benefits such as stock options and bonuses.
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Reinforcement Learning Engineer Salary jobs near you
Infographic showing various Reinforcement Learning Engineer Salary job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Reinforcement Learning Engineer - Whole Body Control

Figure

San Jose, CA • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Figure is an AI Robotics company focused on developing autonomous general-purpose humanoid robots. They are seeking a Reinforcement Learning Engineer to develop, train, deploy, and evaluate advanced reinforcement learning algorithms for whole body control of their humanoid robot.
Responsibilities:
• Develop, train, and deploy reinforcement learning algorithms for whole body control
• Determine the observations, actions, and model types that unlock maximum performance
• Identify and close the most important sim-to-real gaps
• Define, test, and evaluate performance metrics for learned policies
• Harden the control stack to ensure rock solid robustness
Qualifications:
Required:
• Strong background in dynamics and control, ideally of legged robots
• Experience with reinforcement learning algorithms for robotics: PPO, SAC, etc
• Experience tuning hyperparameters and cost functions for these RL algorithms
• Familiarity with common RL techniques such as: domain randomization, curriculum learning, reward shaping, etc.
• Capable of leading complex controls projects and mentoring junior engineers
Preferred:
• Experience with behavior cloning techniques (e.g. distillation)
Company:
Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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