Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a world-class team to tackle deep learning and generative modelling challenges.
- Company: Adamas Knight partners with elite researchers from top institutions like OpenAI and Google DeepMind.
- Benefits: Enjoy competitive pay, cutting-edge tools, and the chance to publish in top conferences.
- Why this job: Be part of groundbreaking AI research and collaborate with renowned experts in the field.
- Qualifications: PhD in relevant fields and strong research background in Big Tech required.
- Other info: Diversity is celebrated; all backgrounds are encouraged to apply.
The predicted salary is between 43200 - 72000 £ per year.
Adamas Knight is exclusively partnering with a prestigious Research Lab in London looking for exceptional Research Scientists to join their world-class team. This lab is composed of researchers from elite institutions and industry labs including OpenAI, Google DeepMind, and Microsoft AI, and is focused on advancing the SOTA in LLMs, reinforcement learning, and deep learning for complex systems. The team is building the models with the goal of powering the next generation of AI supercomputing systems.
The Role
As a Research Scientist, you’ll be at the heart of groundbreaking research, working on core problems in deep learning, generative modelling, and RL. With larger compute resources per capita than any other tech company, you’ll also have the opportunity to conduct and publish your research in top-tier conferences, such as NeurIPS, ICML, and ICLR, and collaborate with world-renowned researchers across multiple DL disciplines.
You might be a fit if you have…
- PhD in Machine Learning, Computer Science, Mathematics or related field;
- Strong track-record in research in Big Tech;
- Deep technical expertise in training, fine-tuning, or scaling deep learning models;
- Experience developing models in language modelling, reinforcement learning, or related domains;
- A strong publication record in venues such as NeurIPS, ICML, ICLR.
What You’ll Get:
- The opportunity to work alongside leading AI researchers and engineers from the world's top institutions;
- SOTA infrastructure and tooling, including cutting-edge GPUs, optimised model training stacks, and robust experiment tracking;
- A highly competitive compensation package.
If this sounds like you, please apply! At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.
Research Scientist employer: Adamas Knight
Contact Detail:
Adamas Knight Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend conferences, workshops, or meetups where you can connect with researchers from top institutions. This can help you gain insights into the latest trends and potentially get referrals.
✨Tip Number 2
Engage with the research community by contributing to discussions on platforms like GitHub or ResearchGate. Share your work and insights on deep learning and reinforcement learning, which can showcase your expertise and attract attention from potential employers.
✨Tip Number 3
Stay updated on the latest advancements in AI and deep learning by following relevant journals and publications. This knowledge will not only enhance your understanding but also prepare you for insightful conversations during interviews.
✨Tip Number 4
Consider collaborating on research projects with other scientists or institutions. This can help you build a strong portfolio of work, demonstrate your ability to work in teams, and increase your visibility in the field.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD and any relevant research experience in Machine Learning, Computer Science, or Mathematics. Emphasise your technical expertise in deep learning models and any publications in top-tier conferences like NeurIPS, ICML, or ICLR.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI research and your specific interest in the role at Adamas Knight. Mention your experience with reinforcement learning and generative modelling, and how you can contribute to their groundbreaking projects.
Highlight Your Research Achievements: In your application, clearly outline your research achievements, including any significant contributions to the field of deep learning. Include details about your publication record and any collaborations with renowned researchers.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for grammatical errors, clarity, and ensure that all information is accurate and relevant to the position. A polished application reflects your attention to detail.
How to prepare for a job interview at Adamas Knight
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight your contributions, methodologies used, and any significant findings. This is your chance to demonstrate your expertise and how it aligns with the lab's focus on deep learning and generative modelling.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in LLMs, reinforcement learning, and deep learning. Being able to discuss recent papers or breakthroughs will show your passion for the field and your commitment to staying at the forefront of research.
✨Prepare for Technical Questions
Expect in-depth technical questions related to your area of expertise. Brush up on key concepts in machine learning, model training, and fine-tuning. Practising problem-solving scenarios can also help you articulate your thought process during the interview.
✨Demonstrate Collaboration Skills
Since the role involves working with a diverse team of researchers, be ready to discuss your experience in collaborative projects. Share examples of how you've successfully worked with others, resolved conflicts, or contributed to a team’s success in achieving research goals.
