Member of Technical Staff – Pre-Training

Company: Adexis
Apply for the Member of Technical Staff – Pre-Training
Location: London
Job Description:

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, Skunkworks — where aggregating outlier individuals drove collective output that changed history.

We are backed by leading investors, and researchers from Anthropic, ElevenLabs, Google DeepMind and more.

Member of Technical Staff — Pre-Training

As a founding hire, you will own the architecture and training recipe for our visuo-tactile foundation model: the core representation that lets a robot understand the physical world through both sight and touch. This is the central modeling bet of the lab, and you will set its direction.

What You’ll Do

  • – Own the model architecture end to end: how visual and tactile signals are tokenized, fused or kept separate, and learned jointly.
  • – Design the training recipe across a staged pipeline — large-scale pretraining on passive observational data, a mid-training stage on our proprietary contact-rich data, and downstream adaptation.
  • – Set evaluation: define what “this model understands contact” actually means and build the evals for it.
  • – Set the scaling roadmap as data and compute grow.

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 and have shipped a model where a second modality measurably earned its place.
  • – Are comfortable being the person who decides the architecture when the literature gives no clean answer.
  • – Bonus: tactile, force, or other non-visual sensing; world models; self-supervised representation learning.

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 medical history disregarded
  • – Top-of-the-line equipment

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Posted: October 2nd, 2026