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 ...
Research Scientist, Reinforcement Learning - Atlas
$175K - $230K/yr
At Boston Dynamics, we are pushing the boundaries of what advanced humanoid robots can do in the ... Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile ...
Research Scientist, Reinforcement Learning - Atlas
$175K - $230K/yr
At Boston Dynamics, we are pushing the boundaries of what advanced humanoid robots can do in the ... Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile ...
Research Scientist, Reinforcement Learning - Atlas
Waltham, MA · On-site
$175K - $230K/yr
At Boston Dynamics, we are pushing the boundaries of what advanced humanoid robots can do in the ... Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile ...
Research Scientist, Reinforcement Learning - Atlas
Waltham, MA · On-site
$175K - $230K/yr
At Boston Dynamics, we are pushing the boundaries of what advanced humanoid robots can do in the ... Design, implement, and train reinforcement learning algorithms for challenging whole-body mobile ...
Reinforcement Learning Engineer - Locomanipulation
Boston, MA · On-site
$200K - $350K/yr
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set ... You will design and train reinforcement learning policies that enable dynamic locomotion and loco ...
Reinforcement Learning Engineer - Locomanipulation
Boston, MA · On-site
$200K - $350K/yr
Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set ... You will design and train reinforcement learning policies that enable dynamic locomotion and loco ...
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 ...
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 ...
Boston Dynamics is a leading robotics company focused on developing advanced robotic systems. They are seeking a Staff Reinforcement Learning Research Engineer to build scalable reinforcement ...
Boston Dynamics is a leading robotics company focused on developing advanced robotic systems. They are seeking a Staff Reinforcement Learning Research Engineer to build scalable reinforcement ...
... to enhance robotic manipulation capabilities. Responsibilities : • Develop large scale physics simulation that can efficiently train reinforcement learning agents • Evaluate and benchmark ...
... to enhance robotic manipulation capabilities. Responsibilities : • Develop large scale physics simulation that can efficiently train reinforcement learning agents • Evaluate and benchmark ...
This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world ...
This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world ...
We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control ... learning and reinforcement learning for whole-body control - Experience with methods such as ...
We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control ... learning and reinforcement learning for whole-body control - Experience with methods such as ...
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
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 ...
Senior Research Scientist, Large Behavior Models
Cambridge, MA · On-site
$180K - $258K/yr
Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models. * Practical ...
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Senior Research Scientist, Large Behavior Models
Cambridge, MA · On-site
$180K - $258K/yr
Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models. * Practical ...
Apply Early
Senior Research Scientist, Large Behavior Models
Cambridge, MA · On-site
$180K - $258K/yr
Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models. * Practical ...
Senior Research Scientist, Large Behavior Models
Cambridge, MA · On-site
$180K - $258K/yr
Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models. * Practical ...
Senior Research Scientist, Large Behavior Models
$180K - $258K/yr
Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models. * Practical ...
Senior Research Scientist, Large Behavior Models
$180K - $258K/yr
Strong understanding of the state-of-the-art in robot learning, including generative models (e.g., diffusion policy, flow matching), reinforcement learning, and/or world models. * Practical ...
D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for robotic learning * Advanced proficiency in reinforcement learning ...
D. in Robotics, Machine Learning, Computer Science, or a related field with demonstrated expertise in foundation models for robotic learning * Advanced proficiency in reinforcement learning ...
Reinforcement Learning & Controls Research Scientist- Spot Behavior
Waltham, MA · On-site
$177K - $225K/yr
At Boston Dynamics, we are pushing the boundaries of what legged robots can do in the real world ... reinforcement learning solutions that run directly on our quadruped platforms. In this role, you ...
Reinforcement Learning & Controls Research Scientist- Spot Behavior
Waltham, MA · On-site
$177K - $225K/yr
At Boston Dynamics, we are pushing the boundaries of what legged robots can do in the real world ... reinforcement learning solutions that run directly on our quadruped platforms. In this role, you ...
Applied Scientist (Robotics and AI Institute LLC):
$128K - $238K/yr
... learning and reinforcement learning) for autonomous manipulation; 3) 2 years of experience designing and conducting robot experiments in both hardware and in simulation, including building the ...
Applied Scientist (Robotics and AI Institute LLC):
$128K - $238K/yr
... learning and reinforcement learning) for autonomous manipulation; 3) 2 years of experience designing and conducting robot experiments in both hardware and in simulation, including building the ...
Reinforcement Learning & Controls Research Scientist- Spot Behavior
Waltham, MA · On-site
$177K - $225K/yr
At Boston Dynamics, we are pushing the boundaries of what legged robots can do in the real world ... reinforcement learning solutions that run directly on our quadruped platforms. In this role, you ...
Reinforcement Learning & Controls Research Scientist- Spot Behavior
Waltham, MA · On-site
$177K - $225K/yr
At Boston Dynamics, we are pushing the boundaries of what legged robots can do in the real world ... reinforcement learning solutions that run directly on our quadruped platforms. In this role, you ...
Applied Scientist (Robotics and AI Institute LLC):
Cambridge, MA · On-site
$128K - $238K/yr
... learning and reinforcement learning) for autonomous manipulation; 3) 2 years of experience designing and conducting robot experiments in both hardware and in simulation, including building the ...
Applied Scientist (Robotics and AI Institute LLC):
Cambridge, MA · On-site
$128K - $238K/yr
... learning and reinforcement learning) for autonomous manipulation; 3) 2 years of experience designing and conducting robot experiments in both hardware and in simulation, including building the ...
Reinforcement Learning Robotics information
What are some common challenges faced when implementing reinforcement learning algorithms in robotics projects?
One common challenge in this role is bridging the gap between simulation and real-world environments, as algorithms that perform well in simulation may not translate directly to physical robots due to unpredictable variables and hardware limitations. Additionally, ensuring the safety and stability of the robot during training is crucial, since trial-and-error learning can sometimes result in unintended behaviors or hardware damage. Collaboration with hardware engineers and domain experts is often necessary to fine-tune models, interpret results, and iterate on solutions. Overcoming these challenges requires patience, adaptability, and strong communication skills within a multidisciplinary team.
What are the key skills and qualifications needed to thrive as a Reinforcement Learning Robotics Engineer, and why are they important?
To thrive as a Reinforcement Learning Robotics Engineer, you need a strong background in robotics, machine learning, and programming, typically supported by a degree in computer science, engineering, or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience with simulation environments (such as Gazebo or ROS), and familiarity with reinforcement learning algorithms are essential. Strong problem-solving skills, creativity, and effective communication set standout professionals apart in this rapidly evolving field. These skills enable engineers to develop intelligent robotic systems that adapt and learn efficiently, driving innovation and practical deployment in real-world environments.
What is reinforcement learning in robotics?
Reinforcement learning in robotics refers to a type of machine learning where robots learn to perform tasks through trial and error, receiving feedback from their actions in the form of rewards or penalties. This approach allows robots to autonomously develop complex behaviors by interacting with their environment, rather than relying solely on pre-programmed instructions. Reinforcement learning is especially useful for tasks that are difficult to model explicitly, such as walking, grasping, or navigation. Over time, the robot improves its performance by maximizing the cumulative reward, leading to more efficient and adaptive behaviors.
What is the difference between Reinforcement Learning Robotics vs Machine Learning Engineer?
| Aspect | Reinforcement Learning Robotics | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Degree in Robotics, Computer Science, or related fields; knowledge of reinforcement learning | Degree in Computer Science, Data Science, or related fields; expertise in machine learning algorithms |
| Work Environment | Robotics labs, manufacturing, autonomous systems | Tech companies, data-driven projects, software development |
| Industry Usage | Autonomous robots, industrial automation, research | Data analysis, predictive modeling, AI applications |
Reinforcement Learning Robotics focuses on applying reinforcement learning techniques to control and optimize robotic systems, often in physical environments. Machine Learning Engineers develop algorithms for a broad range of applications, including data analysis and predictive modeling. While both roles require knowledge of machine learning, Reinforcement Learning Robotics emphasizes robotics and real-world interaction, whereas Machine Learning Engineers work across various industries with software-based solutions.
What are popular job titles related to Reinforcement Learning Robotics jobs in Boston, MA? For Reinforcement Learning Robotics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Robotics jobs in Boston, MA look for? The top searched job categories for Reinforcement Learning Robotics jobs in Boston, MA are:
What cities near Boston, MA are hiring for Reinforcement Learning Robotics jobs? Cities near Boston, MA with the most Reinforcement Learning Robotics job openings:
Full-time
Posted 6 days ago
Job description
Job Summary:
Boston Dynamics is pushing the boundaries of what advanced humanoid robots can do in the real world, and they are seeking a curious, driven Research Scientist to develop cutting-edge reinforcement learning solutions. The role involves designing, training, and deploying RL policies for complex tasks in unstructured environments while collaborating with a world-class team of roboticists.
Responsibilities:
• 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 tested, documented, and production-ready.
• Build and leverage high-fidelity simulation environments (e.g., Isaac Sim, MuJoCo) to validate RL policies before deploying on hardware.
• Integrate learned policies with Atlas’s control and software stack through close collaboration with controls and platform teams.
• Deploy, debug, and iterate policies directly on real Atlas hardware through hands-on experimentation.
• Participate in design reviews, experimental planning, and team-wide research direction.
Qualifications:
Required:
• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Strong experience training and deploying RL policies for complex behaviors in robots or simulated agents.
• Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, RLlib).
• Strong foundations in algorithms, debugging, performance optimization, and robotics fundamentals (kinematics, dynamics).
• Excellent Python and C++ programming skills and experience contributing to production-scale software.
Preferred:
• PhD or equivalent research experience in reinforcement learning or robotic manipulation.
• Experience deploying RL policies on physical robots.
• Experience developing locomotion, bimanual manipulation, or whole-body control behaviors.
• Contributions to large software projects or open-source ML/robotics frameworks.
• Publications in top-tier robotics or ML conferences (e.g., CoRL, RSS, ICRA, NeurIPS).
Company:
Boston Dynamics is an engineering company that specializes in building dynamic robots and software for human simulation. It is a sub-organization of Hyundai Motor Company. Founded in 1992, the company is headquartered in Waltham, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Boston Dynamics is pushing the boundaries of what advanced humanoid robots can do in the real world, and they are seeking a curious, driven Research Scientist to develop cutting-edge reinforcement learning solutions. The role involves designing, training, and deploying RL policies for complex tasks in unstructured environments while collaborating with a world-class team of roboticists.
Responsibilities:
• 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 tested, documented, and production-ready.
• Build and leverage high-fidelity simulation environments (e.g., Isaac Sim, MuJoCo) to validate RL policies before deploying on hardware.
• Integrate learned policies with Atlas’s control and software stack through close collaboration with controls and platform teams.
• Deploy, debug, and iterate policies directly on real Atlas hardware through hands-on experimentation.
• Participate in design reviews, experimental planning, and team-wide research direction.
Qualifications:
Required:
• MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
• Strong experience training and deploying RL policies for complex behaviors in robots or simulated agents.
• Proficiency with modern ML frameworks (e.g., PyTorch, TensorFlow, RLlib).
• Strong foundations in algorithms, debugging, performance optimization, and robotics fundamentals (kinematics, dynamics).
• Excellent Python and C++ programming skills and experience contributing to production-scale software.
Preferred:
• PhD or equivalent research experience in reinforcement learning or robotic manipulation.
• Experience deploying RL policies on physical robots.
• Experience developing locomotion, bimanual manipulation, or whole-body control behaviors.
• Contributions to large software projects or open-source ML/robotics frameworks.
• Publications in top-tier robotics or ML conferences (e.g., CoRL, RSS, ICRA, NeurIPS).
Company:
Boston Dynamics is an engineering company that specializes in building dynamic robots and software for human simulation. It is a sub-organization of Hyundai Motor Company. Founded in 1992, the company is headquartered in Waltham, USA, with a team of 501-1000 employees. The company is currently Late Stage.
About Boston Dynamics
Sourced by ZipRecruiter
Industry
Industrial automation equipment manufacturing
Company size
51 - 200 Employees
Headquarters location
Waltham, MA, US
Year founded
1992