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Reinforcement Learning Jobs in Reston, VA (NOW HIRING)

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

Chantilly, VA

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

Reston, VA

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

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

Machine Learning Engineer

Chantilly, VA

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

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

Vienna, VA

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

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 ...

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

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 ...

Cymertek

Machine Learning Engineer

Reston, VA

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

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Experience with reinforcement learning algorithms and applications * Digital signal processing experience * Background in time-series analysis or sensor data processing * Experience with edge ...

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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 Jun 15, 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 are the common responsibilities of a Reinforcement Learning professional on a daily basis?

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.

Who earns more, AI or ML engineer?

Reinforcement Learning engineers, a specialized subset of AI and ML engineers, tend to earn higher salaries due to their advanced skills in developing algorithms for decision-making systems. Overall, AI engineers generally have higher average salaries than ML engineers, but salaries vary based on experience, location, and industry. Both roles require strong programming skills and knowledge of machine learning frameworks.

What are the key skills and qualifications needed to thrive in the Reinforcement Learning position, and why are they important?

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 engineers make $500,000?

Senior reinforcement learning engineers with extensive experience, advanced skills in machine learning frameworks, and a strong track record in deploying AI systems can earn salaries approaching or exceeding $500,000, especially in high-cost-of-living areas or within leading tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their specialized expertise and impact on product development.

Which 5 jobs will survive AI?

Reinforcement Learning specialists, data scientists, AI researchers, software engineers, and cybersecurity analysts are likely to continue thriving as AI advances, due to their expertise in developing, managing, and securing AI systems. These roles require advanced technical skills, problem-solving abilities, and ongoing learning to adapt to evolving technologies.

What is a Reinforcement Learning job?

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.

Which 3 jobs will survive AI?

Reinforcement Learning specialists, data scientists, and AI ethics professionals are likely to remain in demand as AI advances, due to their specialized skills in developing, managing, and overseeing AI systems. These roles require advanced knowledge of algorithms, programming, and ethical considerations, making them less susceptible to automation. Continuous learning and expertise in AI tools and frameworks help ensure job security in this evolving field.
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Reinforcement Learning jobs near you
Machine Learning Modeling and Simulation Engineer

Machine Learning Modeling and Simulation Engineer

Science Applications International Corporation

Chantilly, VA • On-site

Full-time

Posted 4 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

70th of 204 rated it services

Job description

Job Description
SAIC has need for a Machine Learning Modeling and Simulation Engineer to support a rapidly expanding Government Intelligence Community (IC) customer with cutting-edge programs within the National Reconnaissance Office (NRO) in Chantilly, VA.
Note: The role offers a flexible work schedule, but we ask our team to be available for team meetings during core business hours (10:00 a.m. - 3:00 p.m.).
As the Machine Learning Modeling and Simulation Engineer, you will provide technical expertise across a variety of Machine Learning (ML) and Modeling and Simulation (M&S) topics, including developing and training ML models, designing simulation frameworks, conducting performance analyses, and applying data-driven approaches to solve complex problems. You will also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure seamless integration of ML capabilities within simulation environments.
Job Duties to include:
  • Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
  • Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
  • Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
  • Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics.
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
  • Apply Artificial Intelligence/Machine Learning (AI/ML) techniques (e.g., supervised/unsupervised learning, reinforcement learning, predictive modeling) to enhance simulation fidelity and performance.
  • Develop AI/ML models to analyze and predict satellite system behaviors, performance metrics, and mission outcomes based on simulation data.
  • Design and implement algorithms for anomaly detection, predictive maintenance, and optimization of satellite operations.
  • Use statistical and machine learning techniques to analyze data, identify patterns, and uncover insights relevant to satellite systems.
  • Integrate AI/ML models into existing simulation frameworks and tools to enhance their capabilities.
  • Provide value-added judgment and offer strategic recommendations to the customer on program objectives, advanced technologies, and system enhancements.
  • Produce highly detailed, practical, and consistent deliverables that align with the organization's mission and objectives, with a focus on innovation and cutting-edge solutions in machine learning and simulation.

Qualifications
Required Education and Experience:
  • Bachelor's Aerospace Engineering, Mechanical Engineering, Physics, and five (5) years or more experience; Masters and three (3) years or more experience; PhD and 0 years related experience.
  • Active Top Secret/SCI w/Poly Clearance.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • Strong understanding of sensor phenomenology --such as optical, infrared, or radar systems --and associated modeling methods.
  • Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • Ability to communicate technical results clearly in written and verbal formats.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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