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Postdoctoral In Reinforcement Learning Jobs in Columbia, SC

Ability to work in fast-paced, collaborative environments Required Technologies Programming ... Reinforcement learning * Planning algorithms * Multi-agent systems * Experience deploying AI ...

Postdoctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

... in-person, online or blended learning. All of our system institutions place strong emphasis on ... curious Postdoctoral Fellow to join a multi-disciplinary research program focused on the ...

Postdoctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

... in-person, online or blended learning. All of our system institutions place strong emphasis on ... curious Postdoctoral Fellow to join a multi-disciplinary research program focused on the ...

... in neural network design and reinforcement learning agents - Applying natural language processing techniques for text analytics - Leveraging TensorFlow and Scikit-Learn for deep learning projects ...

Post Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

... learning. All of our system institutions place strong emphasis on service - helping to build ... A Postdoctoral Fellow will conduct research in the Department of Drug Discovery and Biomedical ...

Post Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

... learning. All of our system institutions place strong emphasis on service - helping to build ... A Postdoctoral Fellow will conduct research in the Department of Drug Discovery and Biomedical ...

BCABA Tutor

Columbia, SC · Remote

$40/hr

Ability to explain reinforcement schedules, functional behavior assessment, and behavior ... in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

Post-Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

... in-person, online or blended learning. All of our system institutions place strong emphasis on ... Advertised Job Summary The University of South Carolina invites applications for a Postdoctoral ...

Post Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

Advertised Job Summary This is a Postdoctoral Associate position in the area of mathematical foundations of data science and machine learning in a boarder sense in the Department of Mathematics. The ...

Post Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

Advertised Job Summary This is a Postdoctoral Associate position in the area of mathematical foundations of data science and machine learning in a boarder sense in the Department of Mathematics. The ...

Post Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

... in-person, online or blended learning. All of our system institutions place strong emphasis on ... Advertised Job Summary We are seeking a highly motivated postdoctoral researcher to join our ...

Certified Teacher

West Columbia, SC

$37K - $49K/yr

Accesses student progress and determines the need for additional reinforcement or adjustments to ... Employs various teaching techniques, methods and principles of learning to enable students to meet ...

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Postdoctoral In Reinforcement Learning information

See Columbia, SC salary details

$23.1K

$54.6K

$77.2K

How much do postdoctoral in reinforcement learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for postdoctoral in reinforcement learning in Columbia, SC is $54,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $61,500.00 per year, depending on experience, location, and employer.

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 job categories do people searching Postdoctoral In Reinforcement Learning jobs in Columbia, SC look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Postdoctoral In Reinforcement Learning jobs? Cities near Columbia, SC with the most Postdoctoral In Reinforcement Learning job openings:
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Job description

Required Experience & Skills

Core Requirements

  • 8+ years of application development, systems testing, or related experience
  • 3–6 years of hands-on experience in AI/ML or related fields
  • Deep hands-on Python development experience
  • Strong understanding of end-to-end RAG pipeline architecture and implementation
  • Proven experience delivering Generative AI solutions from concept to production
  • Experience with autonomoagentic AI systems including:
    • Reasoning
    • Planning
    • Tool usage
  • Strong problem-solving and analytical skills
  • Ability to work in fast-paced, collaborative environments

Required Technologies

Programming Languages

  • Python
  • JavaScript / TypeScript

AI Frameworks & Libraries

  • LangChain
  • LangGraph
  • Deep Agents
  • Claude Skills
  • Similar AI orchestration frameworks

AI Models & Concepts

  • Claude
  • OpenAI models
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI concepts

Infrastructure & DevOps

  • AWS (preferred)
  • Docker
  • Kubernetes
  • CI/CD pipelines
  • GitHub and distributed SDLC tooling
  • Container platforms
  • Cloud platforms
  • Document databases

Development & Integration

  • API design
  • Testing frameworks
  • VS Code and developer tooling

Nice-to-Have Qualifications

  • FastAPI or Flask development experience
  • SQL proficiency
  • Experience with:
    • AutoGen
    • Model Context Protocol (MCP)
    • Chain-of-Thought prompting
    • Embeddings and knowledge stores
  • Experience building autonomous agents with cloud AI services
  • Prompt engineering and model fine-tuning expertise
  • Understanding of:
    • Reinforcement learning
    • Planning algorithms
    • Multi-agent systems
  • Experience deploying AI solutions across AWS, Azure, or Google Cloud Platform