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 ...
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics with emphasis on dexterous manipulation
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
Company Overview At Skild AI, we are building the world's first general purpose robotic ... Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
Machine Learning Engineer, Reinforcement Learning
Pittsburgh, PA · On-site
$100K - $300K/yr
Company Overview At Skild AI, we are building the world's first general purpose robotic ... Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
... edge reinforcement learning algorithms, conducting experiments, and optimizing these models to ... This will require close collaboration with our robotics, research, and engineering team. Your work ...
... edge reinforcement learning algorithms, conducting experiments, and optimizing these models to ... This will require close collaboration with our robotics, research, and engineering team. Your work ...
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 ...
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. They are seeking a Reinforcement Learning Engineer to join their Manipulation team, focusing ...
Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. They are seeking a Reinforcement Learning Engineer to join their Manipulation team, focusing ...
Strong background in robot dynamics , control, motion planning, reinforcement learning, imitation learning , or whole-body control. * Familiarity with modern robot learning methods such as PPO, SAC ...
Strong background in robot dynamics , control, motion planning, reinforcement learning, imitation learning , or whole-body control. * Familiarity with modern robot learning methods such as PPO, SAC ...
Dexmate is building the foundation for physical AI -- a unified platform that combines high-quality robotic hardware with a universal Physical AI OS. They are seeking Reinforcement Learning experts ...
Dexmate is building the foundation for physical AI -- a unified platform that combines high-quality robotic hardware with a universal Physical AI OS. They are seeking Reinforcement Learning experts ...
You will design, train, and deploy algorithms that enable robots to interact intelligently and ... Proficiency with advanced deep learning techniques and architectures as well as reinforcement ...
You will design, train, and deploy algorithms that enable robots to interact intelligently and ... Proficiency with advanced deep learning techniques and architectures as well as reinforcement ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. The Senior Reinforcement Learning Engineer will leverage their expertise in ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. The Senior Reinforcement Learning Engineer will leverage their expertise in ...
ML Engineer - Robotics
San Francisco, CA · On-site
$220K - $300K/yr
Integrate learning-based models with robotics software stacks (ROS/ROS2). * Design pipelines for data collection, simulation, and reinforcement learning. * Collaborate with robotics and hardware ...
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ML Engineer - Robotics
San Francisco, CA · On-site
$220K - $300K/yr
Integrate learning-based models with robotics software stacks (ROS/ROS2). * Design pipelines for data collection, simulation, and reinforcement learning. * Collaborate with robotics and hardware ...
... robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to ...
... robotics. Key work involves leveraging foundation models, reinforcement learning, simulation, and integrating ML models in production at scale. You will interface closely with operations teams to ...
ML Engineer - Robotics
San Francisco, CA · On-site
$220K - $300K/yr
Integrate learning-based models with robotics software stacks (ROS/ROS2). * Design pipelines for data collection, simulation, and reinforcement learning. * Collaborate with robotics and hardware ...
ML Engineer - Robotics
San Francisco, CA · On-site
$220K - $300K/yr
Integrate learning-based models with robotics software stacks (ROS/ROS2). * Design pipelines for data collection, simulation, and reinforcement learning. * Collaborate with robotics and hardware ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. The Senior Reinforcement Learning Engineer will focus on achieving ...
Senior Reinforcement Learning Engineer
Austin, TX · On-site
$103K - $142K/yr
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. The Senior Reinforcement Learning Engineer will focus on achieving ...
Senior Reinforcement Learning Engineer - Robotics
Santa Clara, CA · On-site
$122K - $168K/yr
Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques. * Design, execute, and analyze experiments to evaluate RL ...
Senior Reinforcement Learning Engineer - Robotics
Santa Clara, CA · On-site
$122K - $168K/yr
Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques. * Design, execute, and analyze experiments to evaluate RL ...
Senior Reinforcement Learning Engineer - Robotics
Santa Clara, CA · On-site
$122K - $168K/yr
Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques. * Design, execute, and analyze experiments to evaluate RL ...
Senior Reinforcement Learning Engineer - Robotics
Santa Clara, CA · On-site
$122K - $168K/yr
Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques. * Design, execute, and analyze experiments to evaluate RL ...
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.
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Full-time
Re-posted 11 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