Modelling Resident

Adaption is hiring a Modelling Resident for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Adaption.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting lists this role as remote.
Tools and skills the posting cites include PyTorch, TensorFlow and JAX.
Level classifies it as a mid-level role.
Level lists 6 other open roles at Adaption.

AI in this role

Build and co-design adaptive algorithms and efficient AI models in an 8-month residency focusing on real-time learning.

pytorchtensorflowjaxpython

fine-tuningdeep-learningmodel-optimizationrlhfalgorithmic-optimization

The Role

A modelling residency puts you in the center of a frontier lab. You'll be embedded in real work: placed on key production and research projects and mentored directly by our modelling team. We're building our frontier innovation around efficiency, gradient-free exploration, real-time learning, and interface design. By the end of this 8-month residency, our hope is that you leave with a track record you're proud to put on your resume and experiences that meaningfully upskill you.

Responsibilities

Innovation: Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms better
Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains
Measure What Matters: We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we work.

Qualifications

We value impact over credentials. Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to check every box - but you do need to be adaptable.

A degree or equivalent research/engineering experience in a computer science field.
Genuine interest in, and at least one project touching: model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization
Systems thinking — the ability to understand and optimize across the full ML stack
Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)
Familiarity with model optimization techniques such as RLHF and fine-tuning
Strong communication and self-awareness — you know how to collaborate in a remote environment and you're open to feedback
You care about technical excellence and last mile impact. We value impact more than effort, and about owning outcomes end to end.

About Us

Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.

How we rate this

Modelling Resident at Adaption rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Modelling Resident is an open job at Adaption.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in United Kingdom and is marked remote.
The job was posted on June 12, 2026.
Seniority: mid.
Applications are handled by Adaption. Apply on Adaption

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningDeep learningModel OptimizationRlhfAlgorithmic OptimizationPyTorchTensorFlowJAX

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where model optimization was part of your work. What did you do?
Tell me about a project where rlhf was part of your work. What did you do?
Tell me about a project where algorithmic optimization was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Fine-tuning, Deep learning, Model Optimization, Rlhf, and Algorithmic Optimization. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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