Senior Robotic Learning Engineer Real-World Manipulation AI

Genesis; Paris; On-site; EUR 70,000 - 100,000; Full time

Job summary

Genesis in Paris is seeking an experienced robotics engineer to lead the development of a learning-based manipulation and teleoperation stack. You will design and maintain a teleoperation system with low latency and train policies for manipulation and locomotion using reinforcement learning and imitation learning.

You will deploy robotic policies on real systems, diagnose latency or bottlenecks, and work to minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior.

Qualifications

• 5+ years of experience in robotics systems and deployment.
• Strong ownership and initiative in solving problems independently.
• Production-level programming in Python or C++.

Responsibilities

• Develop and optimize a learning-based robotic manipulation control stack.
• Design and maintain a teleoperation system with low latency.
• Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning.
• Deploy robotic policies and diagnose latency or bottlenecks in the control pipeline.
• Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior.
• Collaborate with a team to build general-purpose Physical AI.

Skills

Python

C++

Robotics engineering

Job description

Genesis in Paris is seeking an experienced robotics engineer to lead the development of a learning-based manipulation and teleoperation stack. You will design and maintain a teleoperation system with low latency and train policies for manipulation and locomotion using reinforcement learning and imitation learning.

You will deploy robotic policies on real systems, diagnose latency or bottlenecks, and work to minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior.