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Adexis

Member of Technical Staff – Post-Training

London
£150k – £225k/yr
Posted 20 days ago
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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 — Post-Training

As a founding hire, you will own how our foundation model becomes a policy that acts — the post-training recipe that turns a world representation into dexterous, reliable behaviour on a real robot.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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What you'll do

  • 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.
  • Work shoulder-to-shoulder with the pre-training owner; the boundary between pretraining and post-training is a conversation you'll own jointly.

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You might be a fit if you

  • 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 medical history disregarded
  • Top of the line equipment
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Skills

Post-training
Imitation Learning
Reinforcement Learning
Robot Control Policies
Sim-to-real Transfer
Teleoperation Systems
Dexterous Manipulation
Foundation Models
Evaluation Frameworks
Data Collection Strategy

Location

London, England, United Kingdom

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