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Reinforcement Learning Engineer Salary Jobs (NOW HIRING)

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

The Senior Reinforcement Learning Engineer will leverage their expertise in reinforcement learning to solve locomotion and manipulation challenges, mentor junior engineers, and implement advanced ...

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

The Senior Reinforcement Learning Engineer will focus on achieving state-of-the-art performance on humanoid robots, leveraging expertise in reinforcement learning to solve locomotion and manipulation ...

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

The Senior Reinforcement Learning Engineer will focus on achieving state-of-the-art performance on humanoid robots by implementing and deploying advanced learning algorithms while mentoring junior ...

Reinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation ... A competitive package including Base Salary plus Equity/Tokens . Due to the high volume of ...

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving state-of-the-art performance on our humanoid robots. This engineer will leverage their deep ...

Reinforcement Learning Engineer

New York, NY · On-site

$87K - $118K/yr

Reinforcement Learning (RL) Engineer Location: New York (Office) On-site | Full-time Compensation ... A competitive package including Base Salary plus Equity/Tokens . Due to the high volume of ...

Reinforcement Learning Engineer

New York, NY · On-site

$87K - $118K/yr

Reinforcement Learning (RL) Engineer Location: New York (Office) On-site Full-time Compensation ... A competitive package including Base Salary plus Equity/Tokens . Due to the high volume of ...

Senior Reinforcement Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

JOB SUMMARY The Senior Reinforcement Learning Engineer is a key, hands-on role focused on achieving state-of-the-art performance on our humanoid robots. This engineer will leverage their deep ...

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Reinforcement Learning Engineer Salary information

See salary details

$38K

$115.9K

$191.5K

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

As of Jun 9, 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.

More about Reinforcement Learning Engineer Salary jobs
What cities are hiring for Reinforcement Learning Engineer Salary jobs? Cities with the most Reinforcement Learning Engineer Salary job openings:
What states have the most Reinforcement Learning Engineer Salary jobs? States with the most job openings for Reinforcement Learning Engineer Salary jobs include:
What job categories do people searching Reinforcement Learning Engineer Salary jobs look for? The top searched job categories for Reinforcement Learning Engineer Salary jobs are:
Infographic showing various Reinforcement Learning Engineer Salary job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Reinforcement Learning AI Engineer

Reinforcement Learning AI Engineer

Booz Allen Hamilton

Aurora, CO • On-site

$99K - $225K/yr

Other

Medical, Life, Retirement, PTO

Posted 29 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Number: R0237547
Reinforcement Learning AI Engineer

The Opportunity:

Booz Allen is seeking an innovative and experienced AI developer specializing in reinforcement learning to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.You will collaborate with cross-functional teams to translate reinforcement learning research into operational capability and production-grade code, bringing significant technological advancements that drive mission success.

You'll pioneer a growing community of machine learning engineers across the company.You'll collaborate with a team of dedicated Space, Military, Intelligence, Engineering, and AI professionals to deliver bleeding-edge solutions to solve high-priority national defense problems.

What You'll Work On:

  • Design, implement, and train reinforcement learning (RL) and multi-agent reinforcement learning (MARL) algorithms for complex decision-making problems.

  • Develop scalable training pipelines using Python and modern ML frameworks.

  • Build and evaluate agents in simulated environments using Gym or PettingZoo, high-fidelity simulators, or custom environments.

  • Apply RL techniques such as policy optimization, value-based learning, model-based RL, and imitation learning.

  • Collaborate with domain experts to define reward structures, constraints, and evaluation metrics aligned with mission objectives.

  • Implement distributed training workflows leveraging cloud compute, containerization, and orchestration technologies.

  • Transition trained models into production systems, following strong software engineering best practices.

  • Contribute to system architecture and performance optimization in Python with opportunities to extend into C++ or Rust for high-performance components.

Join us. The world can't wait.

You Have:

  • Experience developing and training reinforcement learning agents

  • Experience with Gym or PettingZoo interfaces

  • Experience with ML frameworks such as PyTorch, TensorFlow, or JAX

  • Experience with artificial intelligence, data science, machine learning engineering, or software engineering

  • Experience developing technical solutions using Python, C++, or Rust

  • Knowledge of reinforcement learning and artificial neural networks

  • Secret clearance

  • Bachelor's degree in a Computer Science, Artificial Intelligence, or Engineering field

Nice If You Have:

  • Experience applying RL to autonomy, control systems, or mission-scale

  • Experience with Multi-Agent Reinforcement Learning (MARL)

  • Experience with AFSIM or other high-fidelity simulation environments

  • Experience with embedded systems programming in C, C++, or Rust

  • Experience in GPU programming, including CUDA or RAPID

  • Experience developing in-space solutions

  • Knowledge of modern software design patterns, including microservice design and orchestration in Kubernetes deployment

  • Master's degree in Computer Science, Artificial Intelligence, Engineering, or a related field

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.


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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914