Member of Technical Staff – Research
Listed on 2026-10-07
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Research/Development
About Adexis
Adexis is a London-based frontier research lab solving dexterous manipulation. Our mission is to bring machines the power of touch on the path to physical general intelligence, bringing about a future of abundance.
We are building a lean, talent dense organisation, inspired by history's great groups - the Manhattan Project, Apollo, Bell Labs, Skunk works - where aggregating outlier individuals drove collective output that changed history.
We are backed by leading investors, and researchers from Anthropic, Eleven Labs, Google Deepmind and more.
Member of Technical Staff - Research
As a founding research hire, you could work across pre or post-training for our visuo-tactile foundation model. This might include:
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.
You might be a fit if you
Have trained large multimodal or sequence models from scratch and owned the recipe - the data mix, curricula, ablations, debugging silent failures.
Have strong instincts for multimodal fusion.
Have trained manipulation policies and put them on real hardware - you know the specific pain of a policy that demos well and dies on contact.
Know imitation learning deeply and know when reinforcement is worth the instability.
Have a point of view on learning dexterous, contact-rich skills rather than pick-and-place.
Bonus: teleoperation systems, learning from human demonstration, real-world RL.
We seek a high ownership individual up to the task of defining this vision. This is a founding research role and will be compensated accordingly with equity.
Compensation & benefits
Salary: £150-225k
Equity: 0.5-2.5%
Private healthcare with AXA
Top of the line equipment
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