Job Description
Reinforcement Learning (RL) Engineer Manipulation
London Based (5 days in office)
Competitive salary
A high-profile robotics organization is urgently seeking a high-caliber RL Engineer (Manipulation) to join their London-based R&D team. This role is pivotal in bridging the gap between simulation and real-world application, focusing on the development of language-vision conditioned policies for next-generation intelligent robotic platforms.
As a RL Engineer you will have the following responsibilities
* Sim-to-Real Transfer: Developing manipulation tasks in simulators (Isaac Sim/MuJoCo) and successfully deploying trained policies onto physical hardware.
* VLA Policy Development: Training Vision-Language-Action models via RL to enable robots to execute actions based on visual and linguistic context.
* Trajectory Scaling: Collaborating with teleops teams to transform human trajectories into robust robotic skills through behavior cloning.
* High-Performance Engineering: Designing and profiling research-grade PyTorch/JAX code to support large-scale, distributed RL infrastructure.
Essential Skills Needed
1. Deep Learning Mastery: 5+ years building and shipping models, with deep hands-on expertise in LLMs, VLMs, or generative architectures.
2. Industry Experience: 3+ years of commercial experience delivering production-grade AI solutions...