Postdoctoral In Reinforcement Learning Jobs in Massachusetts

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 ...

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 ...

... 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 ...

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 Autodesk AI Lab: London San Francisco Toronto Remote (US/CA/EU) The ... Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational ...

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 ...

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 ...

They are seeking a Staff Reinforcement Learning Research Engineer to build scalable reinforcement ... Required : • MS with 3+ years of experience, or PhD, in ML, Robotics, or a related field • ...

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 ...

... in reinforcement learning or robotic manipulation • Publications at top tier robotics venues including RSS, CoRL, Science Robotics, ICRA • Experience training RL policies in simulation for robots ...

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 ...

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)

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 ...