Manipulation Capabilities Engineer

We're hiring a strong Manipulation Capabilities Engineer to join our team based in London.

In this role, you will work on teaching our robots to manipulate the world around them.

This is a role at the intersection of applied deep learning and robotics, and to be set up for success you need both experience of working with real robot hardware (e.g. identifying issues in control or teleop), and applied deep learning (you don’t have to be an expert on cutting edge neural network techniques, but you should be perfectly capable of curating data, fine-tuning a policy on that data and hypothesising potential mitigations when something doesn’t work).

Post-train manipulation policies via behaviour cloning and RL; own the full loop from data to deployment.

Come up with data preprocessing strategies to improve the quality of collected data.

Work with the simulation team to set up RL training using digital twin, and then iterate on reward and simulation quality to ensure successful transfer to the real world.

Partner with the data collection organization to drive data collection activities for a specific capability: specify what good data looks like, ensure diversity and coverage, and iterate on instructions.