Robot Learning

Genesis Therapeutics

London, United Kingdom

Hybrid

Who this role is best for

Aimed at senior robotics engineers who can independently develop and deploy learning-based robotic systems in a collaborative, real-world environment.

Best fit for

Senior robotics engineers with 5+ years of real-world deployment experience in learning-based systems
— “Extensive experience building and deploying real-world learning-based robotic systems (5+ years)”
Candidates who excel in bridging simulation and physical robot behavior through co-optimization techniques
— “Analyze and minimize the sim-to-real gap by co-optimizing simulation and real-world robot behavior”

Things to consider

The role demands hands-on work with mechanical, electrical, and software components of robots
— “Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components”
Candidates should be prepared for a technically rigorous role requiring deep attention to detail
— “Focus, attention to detail, patience, and a methodical approach to complex tasks”

How to stand out

Emphasize your ability to independently solve complex technical problems in robotic systems
— “Exceptional ownership and initiative—finding and solving problems independently”
Showcase production-level Python or C++ experience with real-world robotics deployment
— “Production-level expertise in modern Python or C++”
Demonstrate your ability to train robotic policies using reinforcement and imitation learning methods
— “Train robotic policies for manipulation and locomotion with reinforcement learning and imitation learning”
Demonstrate your experience in building teleoperation systems with low latency and precision
— “Design and maintain a teleoperation system with smooth, precise motion and low latency”

Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

Skills & requirements

Required

Python

Stack & domain

Robotics EngineeringPythonC++Reinforcement LearningImitation LearningOwnershipInitiativeAIRobotics

About the role

Original posting from Genesis Therapeutics via Ashby

What You’ll Do
Develop and optimize a learning-based robotic manipulation control stack
Design and maintain a teleoperation system with smooth, precise motion and 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 of driven individuals committed to building general-purpose Physical AI
What You’ll Bring
Passion for your craft and demonstrated excellence in robotics engineering
Exceptional ownership and initiative—finding and solving problems independently
Focus, attention to detail, patience, and a methodical approach to complex tasks
Production-level expertise in modern Python or C++
Extensive experience building and deploying real-world learning-based robotic systems (5+ years)
Bonus: Hands-on experience troubleshooting and maintaining robotic systems across mechanical, electrical, and software components

Source: Genesis Therapeutics careers (Ashby)