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Researcher, Training - London

London, UK💼 Full-time🗓 2026-06-04 → 2026-07-31

Core

Designing, prototyping, and scaling new architectures to improve the intelligence and efficiency of large language models (LLMs).

Role type

Senior IC machine-learning researcher (LLM training & architecture)

Builds

Next-generation LLMs for OpenAI's research and product lines

Domain

Artificial Intelligence / Large Language Models / Deep Learning

Deliverable

production ML models

Required skills

LLM architecture design, model inference optimization, empirical experimentation, transformer modifications for efficiency, debugging model regressions, computational performance optimization

Preferred skills

Experience landing contributions to major LLM training runs, self-directed evaluation of deep learning architectures, knowledge of safely deploying LLMs

Technologies

Transformers, LLM training frameworks, inference infrastructure

Responsibilities

Design and prototype new model architectures, execute and analyze experiments autonomously, study and optimize model and computational performance, contribute to training and inference infrastructure

Seniority

Senior, hands-on IC

Rewrite
## About the Team OpenAI'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 OpenAI'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. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. ## 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 ## Requirements - Have experience landing contributions to major LLM training runs - Can thoroughly evaluate and improve deep learning architectures in a self-directed fashion - Are motivated by safely deploying LLMs in the real world - Are well-versed in the state of the art transformer modifications for efficiency ## Nice to Have - None specified ## Benefits - Hybrid work model: 3 days in the office per week - Relocation assistance - Focus and connection-friendly office environment - Adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates ## Workplace & Location This role is based in our London office, and we aren’t considering applications to work remotely at this time. ## About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 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 applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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