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Postdoctoral In Reinforcement Learning Jobs in Virginia

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA · On-site

$105K - $145K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement ...

TheIncLab

Senior Machine Learning Engineer

Mclean, VA

$105K - $145K/yr

Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field * 7+ ...

The One 23 Group

Advanced Solutions Lead

Herndon, VA · On-site

... as Reinforcement Learning or evolutionary algorithms) applied to optimization problems. • Deep expertise in Modeling & Simulation (M&S), Operations Research, Digital Engineering, or true Digital ...

Cmu

Machine Learning Engineer - Autonomy Lab

Arlington, VA

$117K - $155K/yr

... reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. In addition, you havedemonstratedapplying systems engineering principles and collaborated ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Lorton, VA · On-site

$112K - $257K/yr

You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Mclean, VA · On-site

$112K - $257K/yr

You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted ...

BOOZ, ALLEN & HAMILTON, INC.

Autonomy SME, Lead

Fairfax, VA · On-site

$112K - $257K/yr

You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted ...

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Postdoctoral In Reinforcement Learning information

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Virginia? For Postdoctoral In Reinforcement Learning jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Virginia look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Virginia are:
What cities in Virginia are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Virginia with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral In Reinforcement Learning jobs near you

TS195 Autonomy Engineer with Security Clearance

Warriors Solutions

Chantilly, VA • On-site

$140K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Job description

TS195 Autonomy Engineer Warriors Solutions -
Chantilly, VA, United States Position Title: Autonomy Engineer
Requisition ID: TA195
Location(s): Hybrid; Greater Denver Metro Area, CO: Northern, VA
Application Deadline: May 31, 2026 Who We Are
Trusted Space builds solutions both on the ground and in space. Our solutions provide advanced capabilities supporting missions vital to our Nation’s defense, intelligence, and science sectors. Our diverse talented staff of scientists, engineers, and business professionals support critical missions including Space Domain Awareness, Battlespace Awareness & Decision Support, Space Exploration & Science, and the establishment of core Space Infrastructure. Our Culture
As a customer-focused service provider, Trusted Space values its employees and clients. We live by our values; central to this principle is the concept to treat others as you would like others to treat you. We offer a collaborative and supportive work environment, world class benefits, and work-life balance. We encourage life-long learning and continuous improvement in all that we do. Each day, we seek to be better than the previous day, embracing our journey to Excellence. We consider it a privilege to work with our customers on their greatest challenges. Job Description
Trusted Space is seeking an Autonomy Engineer with a bachelor’s degree or higher and 5+ years’ experience to join our team. Qualifications
* Bachelor’s degree or higher in Computer/Data Science or related field.
* Experience implementing, applying, and analyzing behavior of reinforcement learning algorithms
* 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 with large code bases with multiple interacting components
* Experience with development in Python
* Familiarity with RaspberryPi system and hardware testing
* Experience with space-based hardware and software
* Masters degree or working towards a Masters Degree in Computer Science or Data Science
* Demonstrated ability of technical writing for previous research or projects
* Experience with implementation or analysis of autonomous systems in any domain. These domains can be robotics, drones, etc.
Salary Range: The salary range for this role is $140,000-$190,000. Please note that this range is a general guideline and can vary. Trusted Space, LLC considers several factors when extending an offer including, but not limited to: scope, location, position responsibilities, education/training, key skills and business considerations.
Benefits: Trusted Space seeks to create an environment where Employees are empowered and supported to achieve their full potential. We encourage life-long learning within our Agile & Innovative work environment. We offer competitive compensation and benefits including medical, dental, and vision plans; life and accidental death & dismemberment insurance; 401(k) plan; paid holidays and generous paid time off; short-term and long-term disability insurance; and other benefits to promote health, wellness, and a positive work-life balance. Trusted Space, LLC is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender, gender identity, sexual orientation, age, marital status, national origin, veteran status, disability status, or any other status protected under federal, state, or local law. All aspects of employment are decided based on qualifications, merit, competence, performance, and business need. DISCLAIMER: Trusted Space, LLC only uses the respective domains of trustedspace.com and trustedspace.us for official contact and any other domains are likely a scam and do not originate from our company. Trusted Space will never ask a candidate for access or pass codes to personal accounts including e-mails, bank accounts, CashApp, Paypal, Venmo, etc.

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