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Postdoctoral In Reinforcement Learning Jobs in Pittsburgh, PA

Fujitsu

Senior Researcher, AI Security

Pittsburgh, PA · On-site

... agentic reinforcement learning, self-evolving multi-agent orchestration and collaboration, federated learning * Proven Experience in rapid prototyping and testing methodologies to validate the ...

Waabi

Research Scientist, Learnable Planner

Pittsburgh, PA · On-site +1

$158K - $269K/yr

Exceptional Bachelor's students will also be considered. - Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based ...

Waabi

Research Scientist, Simulation Agents

Pittsburgh, PA · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Waabi

Research Scientist, Learnable Planner

Pittsburgh, PA · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Exceptional Bachelor's students will also be considered. - Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based ...

Waabi

Research Scientist, Simulation Agents

Pittsburgh, PA · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

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Postdoctoral In Reinforcement Learning information

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

As of Aug 19, 2026, the average yearly pay for postdoctoral in reinforcement learning in Pittsburgh, PA is $57,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,600.00 and $64,600.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as a postdoctoral researcher in reinforcement learning?

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 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 popular job titles related to Postdoctoral In Reinforcement Learning jobs in Pittsburgh, PA?

For Postdoctoral In Reinforcement Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Pittsburgh, PA look for?

The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Pittsburgh, PA are:

Postdoctoral In Reinforcement Learning jobs near you

Senior Researcher, AI Security

Fujitsu

Pittsburgh, PA • On-site

Full-time

Re-posted 15 days ago

Job description

Pittsburgh, Pennsylvania
Location Flexibility: Primary Location Only
Req Id: 8498
Posting Start Date: 7/20/26
At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation.
We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society.
We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them.
If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career.
Together, we can create a more sustainable future for all.
We are seeking a highly motivated and talented research scientist working in machine learning (ML), natural language processing (NLP), and Artificial Intelligence (AI) to join our Security Science Lab at Pittsburgh. This pivotal role will focus on endowing Agentic AI and Robotics with advancing foundational security technologies like safety, privacy-preserving, alignment, authentication, and authorization, through close collaboration with leading universities. We value individuals with a vision to pick up new knowledge, see through complex scenarios and arrive at simple, elegant yet workable solutions. Self-driven nature, creativity, communication skills, and attention to details are traits of a successful researcher in this role.
Job responsibilities:
  • Conduct research on developing trustworthy collective intelligence and action models to achieve effectively and efficiently goals of individuals and groups in Agentic AI and Robotics
  • Conduct experiments and data analysis to evaluate the effectiveness of research findings on synthetic simulations and real word applications
  • Publish findings in renowned scientific journals and conferences, while also showcasing achievements through presentations at invited talks, conferences, and workshops
  • Integrate various stages of technologies from early stage in-house developed to commercially available software to develop impactful solutions
  • Foster collaboration across interdisciplinary teams, including esteemed professors, to propel research endeavors forward

Essential requirements:
  • PhD in Computer Science and a related field
  • Strong track record of publishing research in top-tier conferences and journals on ML, AI, and NLP such as ICLR, ICML, NeurIPS, COLM, Nature Machine Intelligence, AAAI, KDD, IJCAI, ACL, and EMNLP,Robotics such as ICRA, IROS, CoRL, and RSS, and security such as CCS, IEEE S&P, USENIX Security, and NDSS
  • Expert-level knowledge and extensive experience in one or more these areas: LLM-based agentic systems for security, privacy, and safety, robotics security, privacy and safety, agentic reinforcement learning, self-evolving multi-agent orchestration and collaboration, federated learning
  • Proven Experience in rapid prototyping and testing methodologies to validate the functionality and performance of developed solutions

Preferred requirements:
  • Industry experience in AI, robotics, Security, or related fields, or equivalent experience through postdoctoral research or impactful projects.
  • Proficiency in ML and AI programming written in Python or/and web frontend programming written in TypeScript
  • Design and prototype applications combining a variety of tools and platforms
  • Experience in integrating multiple technologies from multiple research domains including AI, ML, NLP, and security
  • Experience in interdisciplinary research collaborations

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Relocation Supported: Yes
Visa Sponsorship Approved: Yes

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