Postdoctoral In Reinforcement Learning Jobs in Massachusetts

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 ...

Position Details Title Postdoctoral Fellow in Energy System Optimization and Digitization School ... reinforcement learning and/or control (e.g., optimal control, decentralized control, and/or ...

... 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 ...

... 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 ...

... 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)

We are investing in reinforcement learning and physics simulation as a key technology for achieving dexterous and robust whole-body manipulation that can be deployed in real-world environments. In ...

We are investing in reinforcement learning and physics simulation as a key technology for achieving dexterous and robust whole-body manipulation that can be deployed in real-world environments. In ...

... 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 ...

Advanced proficiency in reinforcement learning, diffusion-based methods, imitation learning, and adaptive learning algorithms for robotic manipulation * Expert-level experience with machine learning ...

D. is preferred. • 3+ years of research experience in robot learning. • Strong background in machine learning and robotics, and experience in: Reinforcement Learning and Imitation Learning for ...

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 ...

D. is preferred. • 3+ years of research experience in robot learning. • Strong background in machine learning and robotics, and experience in: Reinforcement Learning and Imitation Learning for ...

A strong background in deep learning methods for robotics, such as Reinforcement Learning, VLA models, and/or behavior cloning, is highly desirable for success in this position. You will work on ...

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 ...

Join us in building the next generation of intelligent robotics systems that will transform the ... learning and reinforcement learning for whole-body control - Experience with methods such as ...

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 ...

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 ...

Advanced proficiency in reinforcement learning, diffusion-based methods, imitation learning, and adaptive learning algorithms for robotic manipulation * Expert-level experience with machine learning ...

At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve ... Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated ...

Strong background in machine learning and robotics, and experience in: * Reinforcement Learning and Imitation Learning for manipulation. * Planning and control algorithms (e.g., A*, MPC)