RL Engineer — Robotic Manipulation & Real-World Training

Thehumanoid; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Equity options

30+ days off

Private healthcare

Pension scheme

Free breakfast and meals

Collaborative, world‑class team

Job summary

Humanoid in London is seeking a Reinforcement Learning Engineer to join our Autonomy team. You will leverage RL in simulation and physical environments to develop robust manipulation policies for our humanoid platform.

You will build and test RL pipelines, collaborate with teleoperations, testing, and operations, and explore sim-to-real transfer to push the frontiers of robotics and AI at scale.

Qualifications

• 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts.
• Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
• Experience solving real problems using reinforcement learning with deep neural networks in any domain.
• Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
• You are self‑driven, pro‑active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply.

Responsibilities

• Train language‑vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world.
• Construct challenging and diverse suites of manipulation tasks in simulation.
• Partner with teleoperations to collect trajectories in simulation for behavior cloning.
• Partner with testing and operations to establish real‑world RL training pipelines.
• Experiment with various ways of bringing policies trained in simulation to the real world.

Skills

Deep learning

Reinforcement Learning

Python

PyTorch

JAX

Tools

PyTorch

JAX

Job description

Humanoid in London is seeking a Reinforcement Learning Engineer to join our Autonomy team. You will leverage RL in simulation and physical environments to develop robust manipulation policies for our humanoid platform.

You will build and test RL pipelines, collaborate with teleoperations, testing, and operations, and explore sim-to-real transfer to push the frontiers of robotics and AI at scale.