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 ...
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 ...
Responsibilities : • Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks. • Develop high-quality Python ...
Responsibilities : • Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks. • Develop high-quality Python ...
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 maintain large-scale model training systems that will enhance their robotics research and ...
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 maintain large-scale model training systems that will enhance their robotics research and ...
Research Scientist, Reinforcement Learning - Atlas
$175K - $230K/yr
Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks. * Develop high-quality Python and C++ code that is ...
Research Scientist, Reinforcement Learning - Atlas
$175K - $230K/yr
Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks. * Develop high-quality Python and C++ code that is ...
Research Scientist, Reinforcement Learning - Atlas
Waltham, MA · On-site
$175K - $230K/yr
Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks. * Develop high-quality Python and C++ code that is ...
Research Scientist, Reinforcement Learning - Atlas
Waltham, MA · On-site
$175K - $230K/yr
Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile manipulation and bimanual manipulation tasks. * Develop high-quality Python and C++ code that is ...
Key job responsibilities • Own the research and development of reinforcement learning and sequential decision making solutions spanning deep RL, policy optimization, offline/batch RL, contextual ...
Key job responsibilities • Own the research and development of reinforcement learning and sequential decision making solutions spanning deep RL, policy optimization, offline/batch RL, contextual ...
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. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description ...
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. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description ...
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large
Cambridge, MA · On-site
$67K - $91K/yr
Reinforcement Learning for Large Scale Foundation Model Post-Training School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Kempner Institute and Computer Science ...
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large
Cambridge, MA · On-site
$67K - $91K/yr
Reinforcement Learning for Large Scale Foundation Model Post-Training School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Kempner Institute and Computer Science ...
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 of humanoid and quadruped robots? As a Staff RL Research Engineer, you'll own the RL stack ...
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 of humanoid and quadruped robots? As a Staff RL Research Engineer, you'll own the RL stack ...
Staff Reinforcement Learning Research Engineer
$155K - $200K/yr
Do you want to build the scalable reinforcement learning framework that powers the next generation of humanoid and quadruped robots? As a Staff RL Research Engineer, you'll own the RL stack ...
Staff Reinforcement Learning Research Engineer
$155K - $200K/yr
Do you want to build the scalable reinforcement learning framework that powers the next generation of humanoid and quadruped robots? As a Staff RL Research Engineer, you'll own the RL stack ...
... reinforcement learning for whole-body control - Experience with methods such as hierarchical quadratic programming and model-predictive control - Experience with simulation environments such as ...
... reinforcement learning for whole-body control - Experience with methods such as hierarchical quadratic programming and model-predictive control - Experience with simulation environments such as ...
Senior Member of Technical Staff: Reinforcement Learning for Wholebody Control
Cambridge, MA · On-site
$180K - $240K/yr
This role sits at the intersection of reinforcement learning and classical control: you'll train policies in large-scale simulation, blend them with model-based control where that's the right tool ...
Senior Member of Technical Staff: Reinforcement Learning for Wholebody Control
Cambridge, MA · On-site
$180K - $240K/yr
This role sits at the intersection of reinforcement learning and classical control: you'll train policies in large-scale simulation, blend them with model-based control where that's the right tool ...
At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds ...
At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Au...
Boston, MA · On-site
Job Requisition ID # 26WD94883 Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU) The ...
Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Au...
Boston, MA · On-site
Job Requisition ID # 26WD94883 Research Lead / Principal Scientist & Manager Post-Training Alignment Reinforcement Learning Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU) The ...
At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds ...
At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds ...
Rather than relying solely on human preference data, we can ground reinforcement learning in the laws of physics and the constraints of real engineering. These are exactly the kinds of challenges ...
Rather than relying solely on human preference data, we can ground reinforcement learning in the laws of physics and the constraints of real engineering. These are exactly the kinds of challenges ...
Are you passionate about using physics simulation, reinforcement learning and humanoid robots? Curious what you'd be able to accomplish with total access to Boston Dynamics robots? As a Research ...
Are you passionate about using physics simulation, reinforcement learning and humanoid robots? Curious what you'd be able to accomplish with total access to Boston Dynamics robots? As a Research ...
Machine Learning / Computer Vision Engineer
Boston, MA · On-site
$90 - $130/hr
Develop visual models that support reinforcement learning and imitation learning policies, including end‑to‑end visuomotor policies that map visual observations to robot actions. * Improve our ...
Machine Learning / Computer Vision Engineer
Boston, MA · On-site
$90 - $130/hr
Develop visual models that support reinforcement learning and imitation learning policies, including end‑to‑end visuomotor policies that map visual observations to robot actions. * Improve our ...
Are you passionate about using physics simulation, reinforcement learning and humanoid robots? Curious what you'd be able to accomplish with total access to Boston Dynamics robots? As a Research ...
Are you passionate about using physics simulation, reinforcement learning and humanoid robots? Curious what you'd be able to accomplish with total access to Boston Dynamics robots? As a Research ...
Reinforcement Learning information
See Boston, MA salary details
$31K - $36K
2% of jobs
$36K - $41.1K
3% of jobs
$41.1K - $46.2K
6% of jobs
$46.2K - $51.3K
3% of jobs
$55.8K is the 25th percentile. Wages below this are outliers.
$51.3K - $56.4K
12% of jobs
The median wage is $61.2K / yr.
$56.4K - $61.5K
25% of jobs
$61.5K - $66.6K
12% of jobs
$66.6K - $71.6K
9% of jobs
$72.7K is the 75th percentile. Wages above this are outliers.
$71.6K - $76.7K
12% of jobs
$76.7K - $81.8K
11% of jobs
$81.8K - $86.9K
5% of jobs
$31K
$63.4K
$86.9K
How much do reinforcement learning jobs pay per year?
As of Aug 15, 2026, the average yearly pay for reinforcement learning in Boston, MA is $63,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $73,900.00 per year, depending on experience, location, and employer.
What does a reinforcement learning professional do?
A typical day for a Reinforcement Learning professional involves designing and implementing learning algorithms, running experiments, analyzing data, and iterating on models to improve performance. You might collaborate closely with data scientists, software engineers, and product managers to integrate your solutions into broader systems or products. Regular activities also include reading recent research literature and participating in team meetings to discuss progress and obstacles. This dynamic role often balances deep technical work with teamwork to drive innovative applications in areas such as robotics, recommendation systems, or autonomous systems.
What are the key skills and qualifications needed to thrive in the reinforcement learning position?
To thrive in a Reinforcement Learning role, you need a solid background in mathematics, statistics, machine learning, and programming (commonly with Python), typically supported by a relevant degree such as in computer science or engineering. Experience with frameworks like TensorFlow, PyTorch, OpenAI Gym, and familiarity with large-scale computing systems are highly valued. Strong problem-solving abilities, curiosity, and effective collaboration and communication skills help you excel in multidisciplinary research and project teams. These capabilities are crucial for designing, implementing, and refining complex algorithms that learn from interaction to solve real-world problems.
What is a reinforcement learning?
A Reinforcement Learning (RL) job involves designing, developing, and optimizing algorithms that enable machines to learn from interactions with their environment. RL professionals work on applications in robotics, finance, gaming, and autonomous systems, leveraging techniques like deep reinforcement learning and policy optimization. Responsibilities often include researching new models, implementing RL algorithms, and improving AI performance. Strong programming skills, knowledge of machine learning frameworks, and an understanding of mathematical concepts like probability and optimization are essential.
What are the most commonly searched types of Reinforcement Learning jobs in Boston, MA?
The most popular types of Reinforcement Learning jobs in Boston, MA are:
What are popular job titles related to Reinforcement Learning jobs in Boston, MA?
For Reinforcement Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning jobs in Boston, MA look for?
The top searched job categories for Reinforcement Learning jobs in Boston, MA are:
Full-time
Re-posted 24 days ago
Job description
Job Summary:
Basis Research Institute is a nonprofit applied AI research organization focused on understanding and building intelligence. 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 projects and mentoring junior team members.
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.
• 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.
Preferred:
• 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.
• Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
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. 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 projects and mentoring junior team members.
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.
• 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.
Preferred:
• 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.
• Exceptional candidates who may not meet all of the following criteria are still encouraged to apply.
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.