Senior AI Engineer: Dexterous Manipulation & RL

RIVR Technologies AG; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Zusammenfassung

RIVR Technologies AG seeks a Senior AI Engineer with deep RL and DL expertise to tackle dexterous manipulation. You will leverage simulated and real-world data to advance robotic grasping, manipulation, and end-effector control in dynamic environments.

Applicants should have 5+ years in industry or research, strong coding in C++ and Python, and a robotics background focused on autonomy and manipulation. This role emphasizes production-grade algorithms.

Qualifikationen

• Master’s degree or higher in Engineering, Robotics, or ML.
• 5+ years of industry or research experience; PhD experience is applicable.
• Strong DL and RL fundamentals including supervised/self-supervised learning and MDPs.
• Background in robotics autonomy and manipulation.
• Experience deploying neural networks on hardware.
• Production-level C++ and Python coding skills.
• Robotic manipulation: dynamics, grasp synthesis, trajectory optimization.

Aufgaben

• Develop RL algorithms for robust, dexterous manipulation from multimodal sensor inputs to motor commands.
• Design, test, and refine algorithms for real-world manipulation challenges like door handles and varying packages.
• Collaborate with the foundation model team to leverage simulated and real-world data.

Kenntnisse

Reinforcement learning

Deep learning

Python

C++

Robotics

Sim-to-real

Policy optimization

Transfer learning

Domain adaptation

Ausbildung

Master's degree in Engineering/Robotics/ML

PhD experience applicable

Tools

PyTorch

TensorFlow

ROS

Jobbeschreibung

RIVR Technologies AG seeks a Senior AI Engineer with deep RL and DL expertise to tackle dexterous manipulation. You will leverage simulated and real-world data to advance robotic grasping, manipulation, and end-effector control in dynamic environments.

Applicants should have 5+ years in industry or research, strong coding in C++ and Python, and a robotics background focused on autonomy and manipulation. This role emphasizes production-grade algorithms.