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Postdoctoral In Reinforcement Learning Jobs in Virginia

Staffingine LLC

AI Platform Developer

Herndon, VA · On-site

... reinforcement learning) and neural network architectures like CNNs and RNNs. * AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · Hybrid

Postdoctoral Associate Apply now Back to search results Job no: 536600 Work type: Research Faculty ... Extension center in the College of Agriculture and Life Sciences and the Learning and ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA · On-site +1

Postdoctoral Associate Apply now Back to search results Job no: 536160 Work type: Research Faculty ... in computational statistics, i.e., unsupervised and supervised ML methods, incl. deep learning.

Trusted Space, LLC

Autonomy Engineer

Chantilly, VA · Hybrid

$140K - $190K/yr

Experience with reinforcement learning libraries such as RLLib or Gym * Experience with development in Python * Experience with space-based hardware and software, or adjacent aerospace experience

Warriors Solutions

TS195 Autonomy Engineer

Chantilly, VA · Hybrid

$140K - $190K/yr

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 ...

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

Chantilly, VA

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

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 ...

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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
AI Platform Developer

AI Platform Developer

Staffingine LLC

Herndon, VA • On-site

Contractor

Posted 9 days ago

Job description

Job Title: Sr. AI Platform Developer
Job Location: Herndon, VA
Job Type: Contract

Job Description:

  1. Programming Languages: Mastery of Python is essential, with R, Java, and C++ also being highly valuable.
  2. 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.
  3.  AI/ML Frameworks and Libraries: Proficiency is required in tools like TensorFlow, PyTorch, Keras, and scikit-learn.
  4. Data Science and Analysis: Skills in data acquisition, cleaning, preprocessing, and feature engineering are crucial, along with knowledge of SQL and NoSQL databases.
  5.  Big Data Technologies: Familiarity with platforms like Apache Spark and
  6. OpenSearch is often necessary for handling large-scale data.
  7. Mathematics and Statistics: A strong foundation in linear algebra, calculus, probability, and statistics is fundamental.
  8. Natural Language Processing (NLP): For language-based AI, expertise in NLP techniques and libraries such as NLTK, spaCy, and Hugging Face Transformers is key.
  9. Cloud Computing and MLOps: Knowledge of cloud platforms (AWS, GCP, Azure) and
  10. MLOps principles is vital for deploying and managing AI models.