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Reinforcement Learning Jobs in Washington (NOW HIRING)

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD

Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. * Hands-on industrial experience with applied machine learning domains such as deep ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. * Hands-on industrial experience with applied machine learning domains such as deep ...

AstraZeneca

Agentic AI Scientist

Gaithersburg, MD · On-site

Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. * Hands-on industrial experience with applied machine learning domains such as deep ...

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 ...

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 ...

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

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

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 ...

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Reinforcement Learning information

See Washington salary details

$32.3K

$66.1K

$90.6K

How much do reinforcement learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for reinforcement learning in Washington is $66,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,200.00 and $77,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

In reinforcement learning, machine learning engineers (MLEs) design, implement, and optimize algorithms that enable AI systems to learn from interactions. While AI continues to advance, MLEs play a crucial role in developing and fine-tuning models, and their skills remain essential for deploying effective reinforcement learning solutions. The role is evolving with increased automation, but MLEs are unlikely to be fully replaced in the near term.

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.

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 around $500,000 or higher, especially in top tech companies or specialized research roles. Compensation often includes base salary, bonuses, and stock options, reflecting expertise in AI, deep learning, and programming languages like Python or C++.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior reinforcement learning engineer or research scientist, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leading projects, developing innovative algorithms, and may require extensive experience and specialized certifications. Compensation at this level reflects the expertise and impact expected in cutting-edge AI development environments.

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 are essential for long-term job security in these fields.
What are the most commonly searched types of Reinforcement Learning jobs in Washington? The most popular types of Reinforcement Learning jobs in Washington are:
What are popular job titles related to Reinforcement Learning jobs in Washington? For Reinforcement Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning jobs in Washington look for? The top searched job categories for Reinforcement Learning jobs in Washington are:
What cities in Washington are hiring for Reinforcement Learning jobs? Cities in Washington with the most Reinforcement Learning job openings:
Reinforcement Learning jobs near you
Infographic showing various Reinforcement Learning job openings in Washington as of July 2026, with employment types broken down into 2% Internship, 59% Full Time, 34% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,083 per year, or $31.8 per hour.

AI Builder - New York City NY

AHU Technologies, Inc.

Washington, DC • On-site

$140K - $300K/yr

Full-time

Posted 26 days ago

Job description

Position: AI BuilderLocation: New York City, NY
Job Type: Full-Time
Work Model: On-site
Job Summary
We are looking for an AI Builder to lead applied AI initiatives and develop enterprise-grade AI agent systems. The ideal candidate will combine machine learning, software engineering, and product thinking to build reliable AI solutions that solve complex business problems.
Responsibilities
  • Build AI agents, evaluation systems, training workflows, and AI development environments.
  • Lead AI projects from idea discovery to prototype, deployment, and continuous improvement.
  • Collaborate with engineering, product, and research teams to deliver scalable AI solutions.
  • Work with stakeholders to understand workflows and transform them into AI-powered products.
  • Create reusable AI tools, frameworks, and automation systems.

Requirements
  • Experience in applied ML, AI systems, reinforcement learning, or product engineering.
  • Strong understanding of ML fundamentals, evaluation methods, training, and quality measurement.
  • Strong programming skills in Python, Java, C++, TypeScript, or JavaScript.
  • Experience building and shipping real AI products or technical systems.
  • Ability to identify high-value AI use cases and develop practical solutions.
  • Strong ownership mindset with a track record of delivered projects.
  • Must be able to work on-site in New York City.

Preferred Qualifications
  • Experience with enterprise AI products, AI agents, evaluation frameworks, or post-training systems.
  • Background in reinforcement learning, applied ML, model alignment, or AI workflow automation.
  • Experience working across customers, engineering teams, and product teams.

Compensation: $140,000.00 - $300,000.00 per hour
About Us
AHU Technologies INCis an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues.
AHU Technologies INC was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.

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