Applied RL Scientist: Robotic Manipulation

RIVR Technologies AG; Zürich; On-site; CHF 140,000 - 180,000; Full time

Job summary

Amazon is seeking an Applied Scientist to advance intelligent robotic manipulation using reinforcement learning. You will research, design, and deploy ML solutions for real-world robotic interaction, bridging sim-to-real gaps and deploying on hardware.

You will work with PyTorch/TensorFlow, build scalable code, and collaborate across engineering and science teams to validate performance and iterate based on hardware feedback.

Qualifications

• Master’s degree or higher in Engineering, Robotics, or Machine Learning.
• Five+ years of industry or research experience, PhD applicable.
• Strong DL fundamentals including RL, MDPS, and transfer learning.
• Robotics background with autonomy/manipulation.
• Production-level C++ and Python proficiency.

Responsibilities

• Research and develop RL methods for robotic manipulation and sim-to-real transfer.
• Design and evaluate ML models using PyTorch/TensorFlow.
• Build production-quality code integrating prototypes into robotics systems.
• Collaborate with cross-functional teams to define simulation requirements and validate models.
• Publish results and mentor junior scientists when appropriate.

Skills

Deep learning fundamentals

C++ production code

Python for prototyping

Reinforcement learning

Robotics manipulation

Education

Master’s degree or higher in Engineering/ML/Robotics

PhD (preferred)

Tools

PyTorch

TensorFlow

Python

C++

Job description

Amazon is seeking an Applied Scientist to advance intelligent robotic manipulation using reinforcement learning. You will research, design, and deploy ML solutions for real-world robotic interaction, bridging sim-to-real gaps and deploying on hardware.

You will work with PyTorch/TensorFlow, build scalable code, and collaborate across engineering and science teams to validate performance and iterate based on hardware feedback.