Reinforcement Learning Expert - Humanoid (human)

Neura Robotics; Zürich; On-site; CHF 100,000 - 135,000; Full time

Job summary

Neura Robotics in Zürich is seeking an Expert in Reinforcement Learning and Behavior Cloning for Humanoid Robots. You will lead the development of innovative algorithms to enhance the capabilities of our humanoid robots.

The ideal candidate holds a Master’s or Ph.D. in a relevant field and has proficiency in programming, experience with robotics frameworks, and a strong analytical mindset. Fluency in English and good command of German are required. Join us to shape the future of cognitive robotics!

Qualifications

• Master’s or Ph.D. in Robotics, Computer Science, or a related field.
• Proficiency in programming languages like Python, C++, or Java.
• Experience in developing and deploying reinforcement learning algorithms for robotic systems.

Responsibilities

• Lead the development and implementation of cutting‑edge algorithms for humanoid robots.
• Collaborate closely with robotics engineering teams.
• Conduct experiments and simulations to evaluate algorithm performance.

Skills

Reinforcement Learning

Behavior Cloning

Programming (Python, C++, Java)

Robotics Frameworks (e.g., ROS)

Simulation Tools (e.g., Isaac Gym)

Deep Learning (PyTorch, TensorFlow)

German Language

Education

Master’s or Ph.D. in Robotics, Computer Science, or related field

Job description

Your mission & challenges

Together, we are taking the step into a new era of cognitive robots:

As an Expert in Reinforcement Learning and Behavior Cloning for Humanoid Robots at NEURA Robotics, you will lead the development and implementation of cutting‑edge algorithms and systems. You will collaborate closely with our robotics engineering team to enhance the autonomy, adaptability, and interaction capabilities of our humanoid robots. This includes:

• Make walking and manipulation of 4NE‑1 robust

• Design, implement, and optimize reinforcement learning algorithms tailored for humanoid robots to perform complex tasks autonomously.

• Develop behavior cloning techniques to improve the efficiency and safety of robot operations in diverse environments.

• Integrate reinforcement learning and behavior cloning approaches to enable robots to learn from both simulated and real‑world interactions.

• Collaborate with hardware engineers to ensure seamless integration of algorithms with robot hardware and sensors.

• Conduct experiments and simulations to evaluate and validate algorithmic performance in various scenarios.

What we can look forward to

• Master’s or Ph.D. in Robotics, Computer Science, or a related field

• Proficiency in programming languages like Python, C++, or Java, with hands‑on experience in robotics frameworks (e.g., ROS) and robotic hardware platforms

• Experience in developing and deploying reinforcement learning algorithms and behavior cloning techniques for robotic systems, with a strong grasp of humanoid robot dynamics, control theory, and sensor integration

• Familiarity with simulation tools such as Isaac Gym and a solid background in motion planning algorithms and perception systems for robots

• Strong analytical skills and a proven ability to deliver innovative solutions in robotics, ideally including a track record of publications or contributions to conferences and journals

• Experience with deep learning is a plus, particularly using frameworks like PyTorch or TensorFlow for applications in Computer Vision, Reinforcement Learning, or Behavior Cloning

• Knowledge of GPU programming and the development of deep learning models for robotics applications

• Your communication skills make you shine

• You have a perfect command of the English language and, best of all, speak German well