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Reinforcement Learning Internship

Are you interested in training agents that can see and act in the real world? Have you already worked on projects involving reinforcement learning or robotics? Do you like interacting with an international team while working independently?

Sony AIis looking for a talented Reinforcement Learning Internto join our Zurich-based team for a 6-month internship (early start dates preferred).

Sony AI is dedicated to using AI to help unleash human imagination and creativity. We believe in researching and developing AI techniques that empower the imagination and creativity of artists, makers and creators around the world. Our aim is to advance AI so that it augments – and works in harmony with – humans to benefit society.

Job Description:

Reinforcement learning holds the promise of enabling robots to solve tasks that are challenging for traditional control algorithms. Despite this promise, RL agents are commonly trained in virtual environments, and considerable efforts are therefore needed to apply such agentsto the real world. The goal of this internship is to solve some of the challenges that arise when a deep RL agent is trained in simulation and then applied to a robot in the real world.

Qualifications & Experience:

  • Background in Computer Science, Engineering, Math, or another related field

  • Experience with reinforcement learning and deep learning

  • Experience programming in Python with TensorFlow/PyTorch

  • Good communication skills in English

  • Bonus points for:

  • Publication record in machine learning
  • Familiarity with continuous control, sim2real, goal-conditioned RL, imitation learning
  • Experience with creating RL environments in Bullet, Unity, MuJoCo
  • Experience with ROS

Bring your uniqueness to Sony

We recognize that each and every one of us is original and different. Diversityand inclusionare in our DNA, they drive innovation. We empower our people to achieve one goal: to fill the world with emotion, through the power of creativity and technology.

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Deadline: 06-06-2024

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