Researcher, Training - London

Researcher, Training - London

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and enhance cutting-edge language models to push the boundaries of AI.
  • Company: Join a leading tech company focused on advancing artificial general intelligence.
  • Benefits: Competitive salary, relocation support, and a hybrid work schedule.
  • Other info: Work in a dynamic London office with opportunities for growth and collaboration.
  • Why this job: Be at the forefront of AI development and make a real-world impact.
  • Qualifications: Experience with LLM training and a passion for deep learning architectures.

The predicted salary is between 60000 - 80000 £ per year.

About the Team

The company's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long‑term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world‑class in every respect.

About the Role

As a member of the training team, you will push the frontier of LLM development for the company's flagship models, enhancing intelligence, efficiency, and adding new capabilities. Relevant interests may include areas such as architecture design, long‑context and efficient attention, optimization and the science of scaling. Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands‑on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.

Responsibilities

  • Design, prototype, and scale up new architectures to improve model intelligence
  • Execute and analyze experiments autonomously and collaboratively
  • Study, debug, and optimize both model performance and computational performance
  • Contribute to training and inference infrastructure

Qualifications

  • Experience landing contributions to major LLM training runs
  • Ability to thoroughly evaluate and improve deep learning architectures in a self‑directed fashion
  • Motivation for safely deploying LLMs in the real world
  • Well‑versed in state‑of‑the‑art transformer modifications for efficiency

Workplace & Location

This role is based in London, and we require on‑site presence; remote work is not an option. We offer relocation support and a hybrid schedule of three days a week in the office, with option to work from home on Thursdays and Fridays.

Equal Opportunity

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristic.

Researcher, Training - London employer: United States Digital Space LLC

As an AI Program Manager at our innovative AI work platform, you'll be part of a dynamic team that values transparency and ownership, empowering you to make a real impact on how organizations operate. With competitive salaries, comprehensive benefits, and ample opportunities for professional growth through dedicated learning and development initiatives, you'll thrive in a collaborative global culture that spans major cities worldwide. Join us to shape the future of AI adoption and drive efficiency across teams while working in an environment that celebrates ambition and creativity.

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Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Researcher, Training - London

Deep Learning
LLM Architectures
Model Inference
Architecture Design
Optimization Techniques
Experiment Analysis
Debugging Skills