# Researcher, Training - London **Company**: OpenAI UK Ltd. **Location**: London, UK **Work arrangement**: hybrid **Job type**: Full time **Salary**: £170K – £445K **Category**: Engineering **Industry**: Technology **Apply**: https://jobs.ashbyhq.com/openai/6fdc9e35-c9d9-49fb-a8f7-80d2d7f03968?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_f53286a5-b8f ## Description This is a position with OpenAI UK Ltd., which controls the hiring and management of this position. Total compensation includes competitive salary, generous equity and benefits. Private medical insurance covering 100% of premiums for employees and their dependents Pension plan with 4% employer contribution 52 weeks maternity leave and 20 weeks parental leave Unlimited time off Annual learning & development stipend (£1,200 per year) 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. 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 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 ## Skills ### Required - LLM architectures - model inference - deep learning architectures - transformer modifications for efficiency - artificial intelligence - machine learning ### Nice to have - architecture design - long-context and efficient attention - optimization and the science of scaling --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/6fdc9e35-c9d9-49fb-a8f7-80d2d7f03968?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)