Researcher, Training - London

Researcher, Training - London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
OpenAI

At a Glance

  • Tasks: Design and scale new architectures to enhance AI model intelligence and efficiency.
  • Company: Join OpenAI, a leader in AI research dedicated to benefiting humanity.
  • Benefits: Hybrid work model, relocation support, and a vibrant office environment.
  • Other info: Dynamic team culture with opportunities for personal and professional growth.
  • Why this job: Push the boundaries of AI technology and make a real-world impact.
  • Qualifications: Deep understanding of LLM architectures and hands-on experience in model optimization.

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

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.

Researcher, Training - London employer: OpenAI

OpenAI is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a hybrid work model that promotes flexibility and collaboration, employees benefit from state-of-the-art office facilities designed for focus and connection. The company prioritises employee growth through hands-on experience in cutting-edge AI research, fostering a culture of creativity and inclusivity that empowers individuals to contribute meaningfully to the future of technology.

OpenAI

Contact Details:

OpenAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Researcher, Training - London

Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current OpenAI employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!

Tip Number 2

Show off your skills! If you’ve got projects or research that align with LLMs, don’t hesitate to share them. Create a portfolio or a GitHub repo showcasing your work – it’s a great way to stand out!

Tip Number 3

Prepare for the interview like it’s the final exam! Brush up on your knowledge of LLM architectures and be ready to discuss your hands-on experience. Practice common interview questions and think about how you can demonstrate your problem-solving skills.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at OpenAI!

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

Deep Learning
LLM Architectures
Model Inference
Experiment Design
Debugging Skills
Optimization Techniques
Transformer Modifications

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for AI and LLMs shine through! We want to see that you’re genuinely excited about the role and how you can contribute to our mission at OpenAI.

Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience in LLM architectures and deep learning. We love seeing specific examples of your work that align with what we do, so don’t hold back!

Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for the team. Be sure to mention any hands-on projects or contributions you've made in the field, and how they relate to the role you’re applying for.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!

How to prepare for a job interview at OpenAI

Know Your LLMs

Make sure you have a solid grasp of large language models and their architectures. Brush up on the latest advancements in transformer modifications and be ready to discuss how they can improve efficiency and intelligence in your work.

Show Your Hands-On Experience

Prepare to share specific examples of your past contributions to LLM training runs. Highlight any experiments you've executed, the outcomes, and how you approached debugging or optimising model performance.

Be Ready for Technical Questions

Expect to dive deep into technical discussions during the interview. Practice explaining complex concepts clearly and concisely, as well as discussing your empirical approach to problem-solving in model inference and architecture design.

Demonstrate Your Collaborative Spirit

Since this role involves both autonomous and collaborative work, be prepared to discuss how you’ve successfully worked in teams. Share experiences where you contributed to group projects or helped others troubleshoot issues, showcasing your ability to communicate effectively.