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Reinforcement Learning Jobs in Reston, VA (NOW HIRING)

i3

Principal Data Scientist

Washington, DC · On-site

Deep Learning, NLP, Computer Vision, Predictive Modeling, Reinforcement Learning • Big Data & Cloud: AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake • MLOps & Data Viz: Docker, Kubernetes ...

New

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks, genetic algorithms * Retrieval-Augmented ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks, genetic algorithms * Retrieval-Augmented ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) * Ability to design, implement, and optimize machine learning models and workflows * Experience ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble methods * Transformer-based models, adversarial networks, genetic algorithms * Retrieval-Augmented ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) * Ability to design, implement, and optimize machine learning models and workflows * Experience ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) * Ability to design, implement, and optimize machine learning models and workflows * Experience ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) * Ability to design, implement, and optimize machine learning models and workflows * Experience ...

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Reinforcement Learning information

See Reston, VA salary details

$29.6K

$60.7K

$83.2K

How much do reinforcement learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for reinforcement learning in Reston, VA is $60,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $70,700.00 per year, depending on experience, location, and employer.

What is a reinforcement learning?

A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.

What does a reinforcement learning professional do?

A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.

What are the key skills and qualifications needed to thrive in the reinforcement learning position?

To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.

What can you do with reinforcement learning?

Reinforcement learning is used in roles such as reinforcement learning engineer or researcher to develop algorithms that enable systems to learn optimal actions through trial and error. It is applied in areas like robotics, game playing, autonomous vehicles, and recommendation systems, often requiring skills in programming, data analysis, and understanding of machine learning frameworks. Professionals in this field design, train, and evaluate models to improve decision-making processes in complex environments.

What job categories do people searching Reinforcement Learning jobs in Reston, VA look for?

The top searched job categories for Reinforcement Learning jobs in Reston, VA are:

What cities near Reston, VA are hiring for Reinforcement Learning jobs?

Cities near Reston, VA with the most Reinforcement Learning job openings:

Reinforcement Learning jobs near you
Infographic showing various Reinforcement Learning job openings in Reston, VA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $60,701 per year, or $29.2 per hour.

Senior Data Scientist / Machine Learning Engineer with Security Clearance

Waypoint Human Capital

Tysons, VA • On-site

Other

Posted 20 days ago

Job description

Waypoint Human Capital Senior Data Scientist / Machine Learning Engineer * Tysons, VA Position Title: Senior Data Scientist / Machine Learning Engineer Position Type: Full-Time, On-Site Position Location: Tysons, VA Clearance Required: Active TS/SCI with CI Polygraph or Full Scope Polygraph Waypoint's client is seeking a dynamic Senior Data Scientist / Machine Learning Engineer with an active TS/SCI CI Poly or higher to join their team. The Senior Data Scientist / Machine Learning Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide federal customers with the information they need to make proper decisions and enable their digital transformation. This position works directly with data scientists, software engineers, and subject matter experts to research, design, and deploy machine learning algorithms that support federal customers in digital transformation and data-driven decision making. They will contribute to new analytics capabilities and assist customers in building their own applications. This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5 to 10 years of relevant experience, and strong Python and applied ML skills. An active TS/SCI with CI Polygraph or Full Scope Polygraph is required. Responsibilities The responsibilities include, but are not limited to: * Research, design, implement, and deploy Machine Learning algorithms for enterprise applications. * Assist and enable federal customers to build their own applications. * Contribute to the design and implementation of new features. Required * Active Top Secret clearance with CI Polygraph or Full Scope Polygraph. * Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required. * MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred. * Minimum 5–10 years relevant work experience preferred. * Excellent programming skills in Python. * Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). * Strong mathematical background (linear algebra, calculus, probability, and statistics). * Experience with scalable Machine Learning (MapReduce, streaming). * Ability to drive a project and work both independently and in a team. * Smart, motivated, can-do attitude, and seeks to make a difference. * Excellent verbal and written communication skills. * Passion for developing team-oriented solutions to complex engineering problems. * Thrive in an autonomous, empowering, and exciting environment. * Ability to collaborate across multiple functional teams to improve scalability. * Ability to convey highly technical concepts and information in written form to both technical and non-technical audiences. * Ability to work on multiple concurrent projects. * Strong self-motivation and the ability to work with minimal supervision. * Team-oriented, energetic, results- and delivery-focused, with a strong commitment to quality and meeting deadlines. * Ability to work in an Agile environment. Desired * Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). * Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality. * Experience with deep learning. * Experience with natural language processing (NLP). * Experience with computer vision. * Experience with reinforcement learning. Apply Now
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