At a Glance
- Tasks: Design and scale new AI architectures to enhance model intelligence and performance.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Competitive salary, equity, unlimited time off, and generous parental leave.
- Other info: Hybrid work model with relocation support and a vibrant office environment.
- Why this job: Be at the forefront of AI innovation and make a real-world impact.
- Qualifications: Experience with LLM training and deep learning architectures.
Location: London, UK
Employment Type: Full time
Department: Research
Compensation: £170K – £445K • Offers Equity
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)
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.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. 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.
Researcher, Training - London employer: Slope
OpenAI is an exceptional employer located in London, offering a dynamic work environment that fosters innovation and collaboration within the AI research field. With competitive compensation, generous equity options, and comprehensive benefits including unlimited time off and a robust learning stipend, employees are empowered to grow both personally and professionally. The hybrid work model and well-equipped office spaces further enhance the work culture, making it an ideal place for those passionate about pushing the boundaries of artificial intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Researcher, Training - London
✨Tip Number 1
Network like a pro! Reach out to people 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
Prepare for those interviews! Research common questions for LLM roles and practice your responses. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Show off your projects! If you’ve worked on any relevant research or personal projects, make sure to highlight them during your conversations. We love seeing practical applications of your 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 our team at OpenAI.
We think you need these skills to ace Researcher, Training - London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Researcher role. Highlight your experience with LLM architectures and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Show Your Passion:Let us know why you're excited about working in AI and specifically at OpenAI. Share any personal projects or research that demonstrate your enthusiasm for pushing the boundaries of LLM development. We love seeing candidates who are genuinely passionate about their work!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your qualifications.
Apply Through Our Website:Don't forget to submit your application through our official website! This ensures that your application gets to the right people and is considered promptly. We can't wait to hear from you!
How to prepare for a job interview at Slope
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be prepared to discuss specific architectures, optimisation techniques, and any hands-on experience you've had with model training. This will show that you're not just familiar with the theory but also have practical insights.
✨Show Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to model performance and debugging. Think about how you would approach a thorny regression or track down a bottleneck. Demonstrating your analytical thinking and problem-solving skills will impress the interviewers.
✨Collaborative Mindset
Since the role involves both autonomous and collaborative work, highlight your ability to work well in teams. Share examples of past projects where you collaborated with others to achieve a common goal, especially in research or technical settings. This will show that you can contribute effectively to the training team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team's current projects, challenges they face, or their vision for future LLM developments. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals.
