Member of Technical Staff – Post-Training (£150k-£225k + Equity) at Adexis

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title Member of Technical Staff – Post-Training

Salary £150k-£225k + Equity

Company Description Adexis is a London-based frontier research lab building the somatosensory cortex for Physical AI to solve dexterous manipulation. Backed by leading VCs, the team includes researchers from Anthropic, ElevenLabs, and Google DeepMind, led by a CEO with a track record of building production ML at Tractable and Wayve.

Job Description As a founding hire at Adexis, you will own the post-training recipe that transforms foundation models into reliable, dexterous robotic behavior. You will bridge the gap between world representations and physical execution, designing the imitation and reinforcement learning strategies that allow robots to feel and manipulate the world with human-level precision.

Location London, UK

Why this role is remarkable

• Join a high-density founding team of outlier researchers from Anthropic, Google DeepMind, and ElevenLabs to solve the hardest problem in embodied intelligence.
• Own the critical technical boundary between world models and physical action, defining how machines learn the power of touch and dexterous manipulation.
• Benefit from a talent-dense culture inspired by Bell Labs and Skunkworks, supported by top-tier VCs and a leadership team with deep experience scaling AI.

What You Will Do

• Architect the entire post-training stack, converting pretrained foundation models into dexterous control policies using teleoperated demonstration data and imitation learning.
• Close the sim-to-real and human-to-robot gaps, ensuring policies learned from demonstrations survive contact and maintain reliability on physical hardware.
• Design and implement comprehensive evaluation frameworks to catch policy failures that are invisible offline but catastrophic in real-world contact-rich environments.

The ideal candidate

• Proven experience training manipulation policies and deploying them on real hardware, with a deep understanding of why policies fail upon contact.
• Deep expertise in imitation learning and reinforcement learning, with the judgment to determine when RL is necessary despite its inherent training instability.
• A strong technical perspective on learning dexterous, contact-rich skills and experience with teleoperation systems or learning from human-led demonstrations.

Who are Jack \& Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

• Jack's an AI agent for job searching and career coaching. He works for you.
• Jill is the AI recruiter working for the company. She recruits from Jack's network.
• If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.