The Research Scientist in Reinforcement Learning will lead efforts to develop new methods and algorithms in AI systems, focusing on reinforcement learning and planning, while collaborating with both ...
The Research Scientist in Reinforcement Learning will lead efforts to develop new methods and algorithms in AI systems, focusing on reinforcement learning and planning, while collaborating with both ...
The Research Scientist in Reinforcement Learning will lead efforts to develop new methods and algorithms for reinforcement learning and planning, while also contributing to collaborative research ...
The Research Scientist in Reinforcement Learning will lead efforts to develop new methods and algorithms for reinforcement learning and planning, while also contributing to collaborative research ...
Boston Dynamics is pushing the boundaries of what advanced humanoid robots can do in the real world ... Responsibilities : • Design, implement, and train reinforcement learning algorithms for ...
Boston Dynamics is pushing the boundaries of what advanced humanoid robots can do in the real world ... Responsibilities : • Design, implement, and train reinforcement learning algorithms for ...
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large
Cambridge, MA · On-site
$67K - $91K/yr
Position Details Title Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post-Training School Harvard John A. Paulson School ...
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large
Cambridge, MA · On-site
$67K - $91K/yr
Position Details Title Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post-Training School Harvard John A. Paulson School ...
Research Scientist, Reinforcement Learning - Atlas
$175K - $230K/yr
... reinforcement learning (RL) solutions that run directly on our humanoid platforms ... In this role, you will design, train, and deploy RL policies that combine whole-body movement and ...
Research Scientist, Reinforcement Learning - Atlas
$175K - $230K/yr
... reinforcement learning (RL) solutions that run directly on our humanoid platforms ... In this role, you will design, train, and deploy RL policies that combine whole-body movement and ...
Research Scientist, Reinforcement Learning - Atlas
Waltham, MA · On-site
$175K - $230K/yr
... reinforcement learning (RL) solutions that run directly on our humanoid platforms ... In this role, you will design, train, and deploy RL policies that combine whole-body movement and ...
Research Scientist, Reinforcement Learning - Atlas
Waltham, MA · On-site
$175K - $230K/yr
... reinforcement learning (RL) solutions that run directly on our humanoid platforms ... In this role, you will design, train, and deploy RL policies that combine whole-body movement and ...
Postdoctoral Fellow in Agentic AI for Science
Cambridge, MA · On-site
$67K - $91K/yr
... reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI ... D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering)
Postdoctoral Fellow in Agentic AI for Science
Cambridge, MA · On-site
$67K - $91K/yr
... reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI ... D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering)
Postdoctoral Fellow in Agentic AI for Science
Cambridge, MA · On-site
$67K - $91K/yr
... reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI ... D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering)
Postdoctoral Fellow in Agentic AI for Science
Cambridge, MA · On-site
$67K - $91K/yr
... reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI ... D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering)
Postdoctoral Fellow in Agentic AI for Science
Cambridge, MA · On-site
$67K - $91K/yr
... reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI ... D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering)
Postdoctoral Fellow in Agentic AI for Science
Cambridge, MA · On-site
$67K - $91K/yr
... reinforcement learning. The postdoctoral fellow will design, implement, and evaluate agentic AI ... D. in a relevant field (e.g., computer science, ML, computational neuroscience, bioengineering)
Machine Learning / Reinforcement Learning Infrastructure Engineer
Cambridge, MA · On-site
$118K - $155K/yr
They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and ... Required : • BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a ...
Machine Learning / Reinforcement Learning Infrastructure Engineer
Cambridge, MA · On-site
$118K - $155K/yr
They are seeking a Reinforcement/Machine Learning Infrastructure Engineer to design, implement, and ... Required : • BS, MS or higher in Computer Science, Computer Engineering, Machine Learning or a ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Au...
Boston, MA · On-site
... Reinforcement Learning Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU) The ... Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Au...
Boston, MA · On-site
... Reinforcement Learning Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU) The ... Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational ...
Principal AI Research Scientist Post-Training Alignment Reinforcement Learning Autodesk AI Lab:...
Boston, MA · On-site
Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...
Principal AI Research Scientist Post-Training Alignment Reinforcement Learning Autodesk AI Lab:...
Boston, MA · On-site
Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational ... Rather than relying solely on human preference data, we can ground reinforcement learning in the ...
Postdoctoral position in AI for Engineering Applications
Cambridge, MA · On-site
$67K - $91K/yr
Position Details Title Postdoctoral position in AI for Engineering Applications School Harvard John ... Reinforcement Learning. The successful candidate will work in a highly collaborative and ...
Postdoctoral position in AI for Engineering Applications
Cambridge, MA · On-site
$67K - $91K/yr
Position Details Title Postdoctoral position in AI for Engineering Applications School Harvard John ... Reinforcement Learning. The successful candidate will work in a highly collaborative and ...
Applied Scientist - Reinforcement learning, OMHS SCS
Boston, MA · On-site
$143 - $193/hr
Rooted in first principles aligned experimentation, the team is dedicated to building self ... Demonstrated experience developing and applying reinforcement learning and sequential decision ...
Applied Scientist - Reinforcement learning, OMHS SCS
Boston, MA · On-site
$143 - $193/hr
Rooted in first principles aligned experimentation, the team is dedicated to building self ... Demonstrated experience developing and applying reinforcement learning and sequential decision ...
Stand up and refine reinforcement learning (RL) pipelines in physics-based simulators, ensuring ... Current PhD student or recent PhD graduate/Postdoc in Robotics, Computer Science, Mechanical ...
Quick apply
Stand up and refine reinforcement learning (RL) pipelines in physics-based simulators, ensuring ... Current PhD student or recent PhD graduate/Postdoc in Robotics, Computer Science, Mechanical ...
Rooted in first principles aligned experimentation, the team is dedicated to building self ... reinforcement learning and sequential decision-making methods (e.g., deep RL, policy gradient ...
Rooted in first principles aligned experimentation, the team is dedicated to building self ... reinforcement learning and sequential decision-making methods (e.g., deep RL, policy gradient ...
Stand up and refine reinforcement learning (RL) pipelines in physics-based simulators, ensuring ... Current PhD student or recent PhD graduate/Postdoc in Robotics, Computer Science, Mechanical ...
Stand up and refine reinforcement learning (RL) pipelines in physics-based simulators, ensuring ... Current PhD student or recent PhD graduate/Postdoc in Robotics, Computer Science, Mechanical ...
Staff Reinforcement Learning Research Engineer
Waltham, MA · On-site
$155K - $200K/yr
Do you want to build the scalable reinforcement learning framework that powers the next generation ... In this role, you will: * Implement on-policy and off-policy learning algorithms * Scale GPU ...
Staff Reinforcement Learning Research Engineer
Waltham, MA · On-site
$155K - $200K/yr
Do you want to build the scalable reinforcement learning framework that powers the next generation ... In this role, you will: * Implement on-policy and off-policy learning algorithms * Scale GPU ...
Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training
Cambridge, MA · On-site
$50K - $70K/yr
Reinforcement Learning for Large Scale Foundation Model Post-Training School Harvard John A ... Basic Qualifications BA/BS in computer science, applied physics, applied math, or a related ...
Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training
Cambridge, MA · On-site
$50K - $70K/yr
Reinforcement Learning for Large Scale Foundation Model Post-Training School Harvard John A ... Basic Qualifications BA/BS in computer science, applied physics, applied math, or a related ...
Staff Reinforcement Learning Research Engineer
Waltham, MA · On-site
$155K - $200K/yr
Do you want to build the scalable reinforcement learning framework that powers the next generation ... In this role, you will: * Implement on-policy and off-policy learning algorithms * Scale GPU ...
Staff Reinforcement Learning Research Engineer
Waltham, MA · On-site
$155K - $200K/yr
Do you want to build the scalable reinforcement learning framework that powers the next generation ... In this role, you will: * Implement on-policy and off-policy learning algorithms * Scale GPU ...
Postdoctoral In Reinforcement Learning information
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?
| Aspect | Postdoctoral In Reinforcement Learning | Postdoctoral In Machine Learning |
|---|---|---|
| Required Credentials | PhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learning | PhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning |
| Work Environment | Academic labs, research institutions, industry R&D teams focused on reinforcement learning applications | Academic labs, research institutions, industry R&D teams working on various machine learning techniques |
| Industry Usage | Primarily in AI research, robotics, gaming, and autonomous systems | Broader 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 Massachusetts?
For Postdoctoral In Reinforcement Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Massachusetts look for?
The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Massachusetts are:
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Cities in Massachusetts with the most Postdoctoral In Reinforcement Learning job openings:
Full-time
Re-posted 11 hours ago
Job description
Job Summary:
Basis Research Institute is a nonprofit applied AI research organization focused on understanding and building intelligence while advancing society's ability to solve complex problems. The Research Scientist in Reinforcement Learning will lead efforts to develop new methods and algorithms in AI systems, focusing on reinforcement learning and planning, while collaborating with both internal teams and external partners.
Responsibilities:
• Conduct independent and collaborative research focused on the MARA project.
• Develop new methods and algorithms for reinforcement learning, planning, and decision-making in AI systems.
• Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, and other domains.
• Disseminate research findings through academic publications and presentations at leading conferences.
• Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
• Develop and maintain open-source software
• (Optionally) Publish and present findings in journals and conferences
• Contribute to the culture and direction of Basis
Qualifications:
Required:
• Researchers holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields.
• Strong background in reinforcement learning, planning, MDPs, optimal control, and sequential decision making.
• Experience in developing AI systems that combine neural and symbolic methods is highly valued.
• Interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
• Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
• Excited about solving real world problems and having positive societal impact.
Company:
Basis is a nonprofit applied research organization with two mutually reinforcing goals. The first is to understand and build intelligence. Founded in 2022, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.
Basis Research Institute is a nonprofit applied AI research organization focused on understanding and building intelligence while advancing society's ability to solve complex problems. The Research Scientist in Reinforcement Learning will lead efforts to develop new methods and algorithms in AI systems, focusing on reinforcement learning and planning, while collaborating with both internal teams and external partners.
Responsibilities:
• Conduct independent and collaborative research focused on the MARA project.
• Develop new methods and algorithms for reinforcement learning, planning, and decision-making in AI systems.
• Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics environments, and other domains.
• Disseminate research findings through academic publications and presentations at leading conferences.
• Provide mentorship to junior team members and contribute to the scientific discourse through seminars, workshops, and collaborative projects.
• Develop and maintain open-source software
• (Optionally) Publish and present findings in journals and conferences
• Contribute to the culture and direction of Basis
Qualifications:
Required:
• Researchers holding a PhD in computer science, artificial intelligence, machine learning, cognitive science, or related fields.
• Strong background in reinforcement learning, planning, MDPs, optimal control, and sequential decision making.
• Experience in developing AI systems that combine neural and symbolic methods is highly valued.
• Interest in foundational AI research and its applications to modeling, abstraction, and reasoning.
• Individuals with a demonstrated track record in scientific research, evidenced through publications, technical reports, or impactful software projects.
• Excited about solving real world problems and having positive societal impact.
Company:
Basis is a nonprofit applied research organization with two mutually reinforcing goals. The first is to understand and build intelligence. Founded in 2022, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.