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Robot Learning

Genesis
London, UK
12 days ago
Apply on www.adzuna.co.uk
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£44,343.0
Working hours
Regular working hours
Job source
www.adzuna.co.uk

Tech stack

C++ (Programming Language) Python (Programming Language) Robotic Automation Software Reinforcement Learning Low Latency

Job description

  • 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

Requirements

  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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5:48 min

Balancing delivery latency with stream reliability and scale

Phil Cluff · LIVE

1:45 min

Supervised, unsupervised, and reinforcement learning paradigms explained

Alexandra Waldherr · LIVE

2:43 min

Origins and early goals of the C++ language

Bjarne Stroustrup · World Congress 2022

2:08 min

Progressing from standard robotics to cognitive learning systems

Clemens Schwaiger · LIVE

2:16 min

Combining robotics, artificial intelligence, and 5G networks

Ulrich Irnich Ulrich Irnich · World Congress 2023

3:37 min

Accessing API documentation and testing remote driving latency

Alexandru Ciinaru Alexandru Ciinaru +3 · World Congress 2025

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42:18
World Congress 2021 • about 5 years ago

On the straight and narrow path - How to get cars to drive themselves using reinforcement learning and trajectory optimization

Francis Powlesland, Elena Kotljarova

Robots are coming into the wild! Full-Stack Robotics Engineers, be ready! thumbnail
29:34
World Congress 2022 • over 4 years ago

Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!

Falk-Moritz Schaefer

Swapping Low Latency Data Storage Under High Load thumbnail
22:32
World Congress 2023 • almost 3 years ago

Swapping Low Latency Data Storage Under High Load

George Asafev

Modern C#: A Dive into the Community's Most Loved new Features. thumbnail
27:04
World Congress 2023 • almost 3 years ago

Modern C#: A Dive into the Community's Most Loved new Features.

Louëlla Creemers

Robots Among us: Advances in AI for Everyday Androids thumbnail
29:51
World Congress 2026 Europe • 2 months ago

Robots Among us: Advances in AI for Everyday Androids

Florian Gather, Thomas Endres

C++ in constrained environments thumbnail
1:00:16
World Congress 2022 • over 4 years ago

C++ in constrained environments

Bjarne Stroustrup

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