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AI Research Scientist

4 weeks ago

Cambridge, Massachusetts, United States The AI Institute Full time
Our Mission

We are dedicated to advancing the field of Artificial Intelligence and Robotics to create intelligent machines that improve lives. Our team focuses on developing cutting-edge technologies, including Reinforcement Learning, to push the boundaries of what is possible.

Job Description

We are seeking a highly skilled Reinforcement Learning Research Scientist to join our team. The ideal candidate will have a strong background in Robotics, Computer Science, or related fields, with a proven track record of research and development experience.

Key Responsibilities
  • Develop and implement Reinforcement Learning algorithms for robotic systems
  • Collaborate with cross-functional teams to design and test robotic hardware and software
  • Contribute to the development of new technologies and methodologies in AI and Robotics
  • Stay up-to-date with the latest advancements in the field and apply this knowledge to our research and development efforts
Requirements
  • Master's or Ph.D. degree in Robotics, Computer Science, or related field
  • 6+ years of experience in research and development
  • Strong background in Reinforcement Learning, Control, Robotics, or Imitation Learning
  • Experience with sim-to-real transfer for robotic hardware, particularly legged robots or highly dynamic mobile vehicles
  • Advanced programming skills in Python or C++
  • Expertise with deep learning frameworks such as PyTorch and robotic simulation
  • Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, Control, or related fields
Bonus Requirements
  • Knowledge of Model Predictive Control
  • Experience in combining model-based and data-driven approaches
  • Experience with Isaac-Gym, Isaac-Sim, or Orbit
  • Experience with ROS or ROS2
  • Experience with Docker, cloud computing, or similar applications
  • Experience with parallel programming (e.g., CUDA)

We are an equal opportunity employer and welcome applications from diverse candidates. We are committed to creating an inclusive and respectful work environment.