Researcher, Training - London
openai
London, UK
Uncategorized
Job Score
70 pts
On-site model (+70)
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.
In this role, you will:
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
You might thrive in this role if you:
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
Workplace & Location:
This role is based in our London office, and we aren’t considering applications to work remotely at this time.
If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates.
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. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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.
Discover Other Areas
Understand the scope of work, key skills, and tools used in different career areas.
About Artificial Intelligence
Artificial Intelligence is currently the fastest-growing field in the technology market. The revolution in generative models (GPT, Claude, Gemini) has created massive demand for AI-specialized professionals.
Key areas of practice include Machine Learning Engineering, MLOps, Prompt Engineering, AI Research, and Applied AI. Python, TensorFlow, PyTorch, and LLM knowledge are essential skills.
AI salaries are the highest in the technology sector, with many remote work opportunities at international companies.
About Cloud Solutions
The Cloud Solutions area is responsible for designing, implementing, and managing cloud infrastructure and services (AWS, Azure, GCP) for companies. Cloud professionals architect scalable, secure, and cost-optimized solutions, from data center migrations to serverless and multi-cloud architectures.
Key skills include IaC (Terraform, CloudFormation), containers (Docker, Kubernetes), serverless (Lambda, Cloud Functions), managed databases (RDS, DynamoDB, BigQuery), cloud networking (VPC, CDN, load balancer), and security (IAM, WAF, KMS). Knowledge of FinOps, cloud governance, and AWS/Azure/GCP certifications is a differentiator.
Cloud Solutions professionals in technology companies are highly valued, especially those who master multi-cloud architectures, FinOps, and can optimize costs while maintaining performance and security. The field offers opportunities from cloud engineer to cloud solutions architect, head of cloud, and chief cloud architect.
About Marketing
The Marketing area is strategic for the growth and positioning of any company. It encompasses traditional marketing, brand management, market research, trade marketing, product marketing, and market intelligence. Marketing professionals are responsible for planning and executing strategies that connect brands to their target audience.
Key skills include brand management, market research, competitive analysis, product marketing, trade marketing, pricing, relationship marketing, and channel development. Knowledge of research tools (Nielsen, Kantar, Ipsos), BI, and advanced spreadsheets is a differentiator.
Marketing professionals in technology companies are highly valued, especially those who master product marketing, go-to-market strategy, and data-driven marketing. The field offers opportunities from analyst to CMO, with a focus on growth, brand positioning, and return on investment.
About UX Design
The User Experience (UX) Design area focuses on optimizing the overall user experience when interacting with a product or service. UX professionals conduct user research (UX Research), map journeys, create wireframes, perform usability tests, and define navigation flows to ensure the product is intuitive, useful, and meets users' real needs.
About Graphic Designer
The Graphic Designer is the professional responsible for creating visual pieces for print and digital communication, from visual identity and logos to marketing materials and packaging. They combine creativity with technique to convey messages visually and impactfully.
Key skills include Adobe Photoshop, Illustrator, and InDesign, CorelDRAW, visual identity design, typography, color theory, packaging design, and motion graphics. Knowledge of vector illustration, offset/digital printing, and print production is a differentiator.
Graphic Designers in technology companies are highly valued, especially those who master social media design, infographics, and can create materials that strengthen brand visual identity. The field offers opportunities from junior graphic designer to art director and design director.