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Senior Reinforcement Learning Jobs in Virginia (NOW HIRING)

Resource Point LLC

AI Engineer Senior

Reston, VA · On-site

$127K - $168K/yr

AI Engineer Senior Location: Reston, VA/Hybrid Duration: 6+ Months ( with possible extension ... Reinforcement Learning (RL) * Good understanding and experience working with Natural Language ...

AnaVation LLC

Sr. Cyber Engineer (AI)

Chantilly, VA · On-site

They are seeking a Senior AI Engineer to build advanced AI-driven systems for vulnerability ... with reinforcement learning, program synthesis, or neurosymbolic reasoning. • Experience ...

Qualtrics

Senior Applied Scientist

Reston, VA · On-site

$95K - $130K/yr

Senior Applied Scientist Why We Have This Role We are looking for a talented and innovative Senior ... Natural Language processing, information retrieval, speech processing, deep learning, reinforcement ...

Qualtrics

Senior Applied Scientist

Reston, VA

$95K - $130K/yr

Senior Applied Scientist Why We Have This Role We are looking for a talented and innovative Senior ... Natural Language processing, information retrieval, speech processing, deep learning, reinforcement ...

Nou Systems Inc

Senior Analyst

Arlington, VA · On-site

$180K - $250K/yr

... and reinforcement learning. * You will need Ten (10) years of experience in designing and ... senior leadership. * Experience leading technical collaboration with DoW and Service S&T centers ...

Closure Technologies

AI/ML Engineer

Mclean, VA

Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; or 7 years of ... AI, reinforcement learning, computer vision, or related disciplines. * Experience publishing ...

Nou Systems Inc

Senior Analyst

Fort Belvoir, VA · On-site

$180K - $250K/yr

... and reinforcement learning. * You will need Ten (10) years of experience in designing and ... senior leadership. * Experience leading technical collaboration with DoW and Service S&T centers ...

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Senior Reinforcement Learning information

What are some common challenges faced by senior reinforcement learning professionals when deploying models in real-world environments?

Senior Reinforcement Learning professionals often encounter challenges such as ensuring model robustness when transferring algorithms from simulated to real-world environments, handling limited or noisy data, and managing the computational demands of training complex models. Additionally, safety and interpretability are critical, as real-world deployments can have significant impacts if models behave unpredictably. Close collaboration with domain experts and engineering teams is essential to address these challenges and ensure successful, scalable deployments.

What are the key skills and qualifications needed to thrive as a senior reinforcement learning engineer, and why are they important?

To thrive as a Senior Reinforcement Learning Engineer, you need deep expertise in machine learning, reinforcement learning algorithms, and programming languages such as Python, often supported by an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and RL-specific libraries, as well as experience with high-performance computing and cloud platforms, is typically required. Strong problem-solving abilities, collaboration, and communication skills help distinguish top performers in this role. These skills ensure the development of efficient, robust RL models and effective teamwork on complex AI projects.

What is the difference between Senior Reinforcement Learning vs Data Scientist?

AspectSenior Reinforcement LearningData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; experience with RL frameworksDegree in CS, Statistics, or related; strong analytical skills
Work EnvironmentResearch labs, AI teams, tech companies focusing on ML projectsBusiness analytics, data analysis, and modeling in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, marketing, tech, and more

While both roles require strong analytical skills and technical knowledge, Senior Reinforcement Learning specialists focus on developing RL algorithms and models, often in AI research settings. Data Scientists analyze data to inform business decisions across industries. The roles overlap in data handling and programming but differ in their core focus and application areas.

What does a senior reinforcement learning engineer do?

A Senior Reinforcement Learning Engineer designs, develops, and implements advanced machine learning algorithms that enable systems to learn optimal behaviors through trial and error. They work on complex problems such as robotics, game AI, recommendation systems, and automated decision-making. In addition to coding and model development, they often lead research initiatives, collaborate with cross-functional teams, and mentor junior engineers. Their role requires deep knowledge of reinforcement learning theory, practical experience with machine learning frameworks, and strong programming skills.
What are the most commonly searched types of Reinforcement Learning jobs in Virginia? The most popular types of Reinforcement Learning jobs in Virginia are:
What are popular job titles related to Senior Reinforcement Learning jobs in Virginia? For Senior Reinforcement Learning jobs in Virginia, the most frequently searched job titles are:
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Senior Reinforcement Learning jobs near you

Sr. AI Engineer@ Reston, VA (Hybrid) 1 DAY Per week

Palnar

Reston, VA • On-site

Full-time

Re-posted 25 days ago

Job description

Required Skills:
  • 7+ years of experience building production-level AI or ML systems, including LLMs, agents, or complex automation frameworks
  • 7+ years of experience withPython and Python tools, including Pandas or NumPy
  • Experience with Large Language Models (LLMs), Machine Learning (ML), Deep Learning (DL), and Reinforcement Learning (RL)
  • Good understanding and experience working with Natural Language Processing (NLP)
  • Experience with tools and AI agent frameworks such as TensorFlow, PyTorch, LangGraph, or LangChain
  • Experience in resolving workflow problems through automation optimization
  • Experience in connecting Agents to APIs, Cloud platforms, or databases
  • Ability to work with automated testing tools to perform testing and maintenance
  • Experience with Software Development Lifecycle (SDLC), such as DevSecOps.
  • Experience with Cloud Service Providers such as Amazon Web Services (AWS)
  • Experience with developing REST services with Java and Spring Boot
  • Experience with the administration of continuous integration and continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Preferred experience working with GitHub and other collaborative development platforms.

Apply