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Reinforcement Learning Jobs in Reston, VA (NOW HIRING)

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Familiarity or experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research is strongly preferred. Preferred: Experience working with frontier ...

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

Machine Learning (ML) & Deep Learning (DL): You'll need a deep understanding of ML concepts (supervised, unsupervised, reinforcement learning) and neural network architectures like CNNs and RNNs.

10a Labs

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

Familiarity or experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research is strongly preferred. Preferred: Experience working with frontier ...

10a Labs

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

Familiarity or experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research is strongly preferred. Preferred: Experience working with frontier ...

Trusted Space, LLC

Autonomy Engineer

Chantilly, VA · Hybrid

$140K - $190K/yr

Experience implementing, applying, and analyzing behavior of reinforcement learning algorithms * Experience that reflects strong understanding of machine learning fundamentals * Experience with ...

Warriors Solutions

TS195 Autonomy Engineer

Chantilly, VA · Hybrid

$140K - $190K/yr

Experience with reinforcement learning libraries such as RLLib and Gym * Ability to work with Git version control * An Active Top Secret/SCI Security Clearance Desired Skills * Experience working ...

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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 16, 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.
What are popular job titles related to Reinforcement Learning jobs in Reston, VA? For Reinforcement Learning jobs in Reston, VA, the most frequently searched job titles are:
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

Artificial Intelligence (AI) Engineer

TechSur Solutions

Reston, VA • On-site, Remote

$119K - $143K/yr

Other

Posted 23 days ago

Job description

Company Description
TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers to improve quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs.
Job Description
Role: Artificial Intelligence (AI) Engineer
Client: US Courts
Duration: Full time position
Location: Reston, VA (Hybrid - 3x/Week)
Company Overview
TechSur Solutions is a digital services company whose mission is to enable digital transformation for our customers improving quality and efficiency. Based in the DC metropolitan area, TechSur specializes in advanced cloud services, modernization for both IT structures and applications, leveraging Agile development, and Data Analytics. Since we were formed in August of 2016, we have supported multiple impactful and exciting government programs.
Job Description
We are seeking a highly motivated AI Engineer with a strong focus on OpenAI technologies to join our growing team. The ideal candidate will have a deep understanding of AI models, multi-agent systems, and the ability to design, develop, and implement intelligent agents capable of autonomous problem-solving and decision-making. Your work will contribute to creating innovative AI-driven applications and solutions that integrate cutting-edge advancements in artificial intelligence, including GPT models, reinforcement learning, and natural language processing.
Job Responsibilities
  • Design and develop AI agents leveraging OpenAI's GPT models and APIs to solve complex problems in real-world environments.
  • Collaborate with cross-functional teams to integrate AI agents into products, services, and tools.
  • Implement and fine-tune natural language processing (NLP) capabilities for AI agents, improving their comprehension and interaction with users.
  • Develop autonomous, multi-agent systems capable of communicating, learning, and collaborating to perform tasks and achieve goals.
  • Create pipelines for training, fine-tuning, and deploying AI models on various platforms, ensuring scalability and efficiency.
  • Research and integrate reinforcement learning techniques to improve agent performance and adaptability.
  • Analyze, debug, and optimize AI agents for performance, robustness, and scalability.
  • Stay current with the latest advancements in AI, ML, and NLP, particularly OpenAI's technology stack.
  • Contribute to creating best practices and documentation for the development and deployment of AI agents.
Required Skills/Qualifications
  • 3+ years of experience in AI/ML development, with a focus on AI agents, multi-agent systems, or autonomous systems.
  • Strong experience with OpenAI GPT models, APIs, and NLP technologies.
  • Proficiency in Python and familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or similar.
  • Hands-on experience with reinforcement learning, deep learning, or generative models.
  • Familiarity with cloud platforms (e.g., AWS, GCP) and containerization tools (e.g., Docker, Kubernetes).
  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders
  • Strong programming skills in languages such as Python, R, or Java.
  • Experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, or scikit-learn.
  • Strong problem-solving skills and the ability to work on multiple projects simultaneously.
  • Excellent communication and teamwork abilities.
Preferred Experience
  • Experience with large-scale model deployment in production environments.
  • Knowledge of ethical AI development practices and responsible AI usage.
  • Prior experience in developing conversational agents, virtual assistants, or autonomous systems.
  • Understanding of multi-agent coordination and communication protocols.
  • Passion for cutting-edge AI technologies and their applications.
  • Experience working with federal clients or within the government sector is preferred.
Qualifications
Education
  • Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or a related field
  • Years of experience can be considered in lieu of degree

Additional Information
All your information will be kept confidential according to EEO guidelines.

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