Research Scientist (London Area)

About the job

Adamas Knight is exclusively partnering with a prestigious Research Lab in London looking for exceptional Research Scientist 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, etc. 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.