Member of Technical Staff – Research

Adexis is a London-based frontier research lab focused on dexterous manipulation and physical general intelligence. The founding research hire will develop visuo-tactile foundation models, post-training methods, manipulation policies, and evaluation systems for deploying dexterous robotic skills in the real world.

Responsibilities:

• Own the model architecture end to end: how visual and tactile signals are tokenized, fused or kept separate, and learned jointly
• Make the hard representational calls: what a contact signal is at the token level, how it aligns in time with vision, and how the two modalities trade off when they disagree
• Own the post-training stack: how we adapt a pretrained model into a control policy using teleoperated demonstration data
• Design the recipe: demonstration collection strategy, imitation and any reinforcement or self-improvement stages, and the full sequence from foundation model to deployable policy
• Close the sim-to-real and human-to-robot gaps: make a policy learned from human demonstration survive contact with the real world
• Define what good behaviour is and build the evaluation that catches a policy that looks good offline and fails on hardware