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Reinforcement Learning Engineer Jobs in Washington

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Machine Learning Engineer

Reston, VA

Machine Learning Engineer Location: Fort Meade, MD Required Clearance : TS/SCI w/ Full-Scope Poly ... reinforcement learning, and deep learning. * Experience with data processing tools like Pandas ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ... Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105.60K - $145.10K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Feature engineering and preprocessing * Data augmentation strategies for training robustness

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$43K

$131.2K

$216.9K

How much do reinforcement learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for reinforcement learning engineer in Washington is $131,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $171,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Reinforcement Learning Engineer, and why are they important?

To thrive as a Reinforcement Learning Engineer, you need a strong background in machine learning, mathematics (especially probability and statistics), and programming languages like Python, often supported by a relevant degree in computer science or engineering. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like OpenAI Gym), and cloud computing platforms is typically required. Problem-solving skills, creativity, and effective collaboration help set outstanding engineers apart in this field. These competencies enable the design and deployment of advanced RL solutions that address real-world challenges and drive innovation.

What are some common challenges faced by Reinforcement Learning Engineers when deploying models in real-world environments?

One of the main challenges Reinforcement Learning (RL) Engineers face is bridging the gap between simulation and real-world deployment. Models that perform well in controlled environments may struggle with unpredictable data, safety constraints, or limited feedback in production. Additionally, RL algorithms often require significant computational resources and careful tuning to avoid instability. Collaboration with domain experts and software engineers is essential to address these issues and ensure successful integration of RL solutions into existing systems.

What are Reinforcement Learning Engineers?

Reinforcement Learning Engineers are specialized professionals who design, develop, and implement algorithms based on reinforcement learning, a type of machine learning where agents learn to make decisions by receiving rewards or penalties. They work on building models that enable machines to learn optimal actions through trial and error in complex environments. Their responsibilities often include developing RL architectures, tuning hyperparameters, running simulations, and applying RL methods to real-world problems like robotics, gaming, or recommendation systems. RL Engineers typically have strong backgrounds in computer science, mathematics, and deep learning, along with experience in programming languages like Python and frameworks such as TensorFlow or PyTorch.

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

AspectReinforcement Learning EngineerMachine Learning Engineer
CredentialsBachelor's/Master's in CS, AI, or related; experience with RL frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on RL applicationsTech companies, data-driven firms, AI departments across industries
Industry UsageSpecialized in RL projects like robotics, game AI, autonomous systemsBroader applications including predictive modeling, NLP, computer vision

Reinforcement Learning Engineers focus on developing algorithms that learn through interactions with environments, often in robotics or gaming. Machine Learning Engineers work on a wider range of models and applications. While both roles require strong programming and math skills, RL Engineers specialize in sequential decision-making, whereas ML Engineers handle diverse data-driven tasks across industries.

What are popular job titles related to Reinforcement Learning Engineer jobs in Washington? For Reinforcement Learning Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Engineer jobs in Washington look for? The top searched job categories for Reinforcement Learning Engineer jobs in Washington are:
What cities in Washington are hiring for Reinforcement Learning Engineer jobs? Cities in Washington with the most Reinforcement Learning Engineer job openings:
Reinforcement Learning Engineer jobs near you
Infographic showing various Reinforcement Learning Engineer job openings in Washington as of May 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $131,228 per year, or $63.1 per hour.
Reinforcement Learning AI Engineer

Reinforcement Learning AI Engineer

Booz Allen Hamilton, Inc.

Annapolis, MD • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 20 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

8th of 57 rated business consultants

Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0237547
Location:
Colorado Springs,CO,US
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Additional Locations:
  • Annapolis Junction, Maryland, USA
  • Aurora, Colorado, USA
  • Chantilly, Virginia, USA

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

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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

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