Robotics Learning Engineer – Manipulation & Real-World AI

Humanoid; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Stock options

30+ paid days off

Private healthcare

Pension plan

Free daily breakfast & snacks

Ownership & leadership access

Job summary

Humanoid in London is hiring a Robotics Learning Engineer to join the Manipulation team. You will teach robots to manipulate the world around them, blending applied deep learning with real robot hardware experience.

The role spans data curation, policy refinement, and deploying RL-driven methods in real environments, collaborating across simulation, Teleoperations, and hardware teams.

Qualifications

• 3+ years working on robots with shipped artifacts.
• Experience with neural network post-training.
• Familiarity with deep learning infrastructure: streaming datasets, checkpointing, distributed training, PyTorch or JAX.
• Ability to profile & debug numerics and write maintainable research code.
• Good familiarity with modern software engineering practices.
• Ability to document experiments clearly and communicate trade-offs crisply.

Responsibilities

• Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment.
• Develop data preprocessing strategies to improve data quality.
• Collaborate with simulation to set up RL training using digital twin and transfer to the real world.
• Partner with data collection to drive data collection for a specific capability; define good data and ensure diversity.
• Expand observation and action spaces; work with Teleoperations to expose components to operators.
• Collaborate with Teleoperations and Controls to improve motion smoothness and teleoperation experience.
• Interface with hardware design to reflect findings in future hardware designs.

Skills

Robotics

Teleoperation

Neural network post-training

Deep learning (PyTorch/JAX)

Data profiling & debugging

Research code

Software engineering practices

Experiment documentation

Tools

PyTorch

JAX

Job description

Humanoid in London is hiring a Robotics Learning Engineer to join the Manipulation team. You will teach robots to manipulate the world around them, blending applied deep learning with real robot hardware experience.

The role spans data curation, policy refinement, and deploying RL-driven methods in real environments, collaborating across simulation, Teleoperations, and hardware teams.