Research Scientist (Applied LLMs), London

The role

You will develop and refine LLM-driven approaches to transform drug discovery. You will work in an interdisciplinary environment to create novel ML techniques and scale training and inference frameworks.

What you will do

• Contribute to core research in machine learning by pushing the boundaries of Large Language Models.
• Develop and refine LLM-driven approaches for multiple use cases across research areas.
• Identify and create novel ML techniques and the required data to train and apply models.
• Analyse and tune experimental results to inform future experimental directions.
• Implement and scale training and inference engineering frameworks.
• Report and present research findings to ML scientists and other disciplines.
• Iterate collaboratively with scientists and domain experts.
• Suggest and engage in team collaborations to meet research goals.
• Provide technical mentorship and guidance to the ML research community.
• Create, lead, and run ML research projects.

Required qualifications

• PhD or equivalent practical experience in a technical field
• Highly specialized LLM builder with experience in applying LLMs to novel problem spaces
• Deep understanding and experience of model architectures, training methods, and techniques for application of LLMs
• Experience in post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, reinforcement learning and fine-tuning
• Strong knowledge of linear algebra, calculus and statistics
• Experience using ML frameworks such as JAX, PyTorch, or TensorFlow
• Experience using scientific software such as NumPy, SciPy, or Pandas
• Strong knowledge of LLM landscape today and likely developments
• Experience working with real-world datasets

Nice to have

• PhD in machine learning or computer science
• Relevant research experience such as post doctoral roles, proven track record of publications, or contributions to machine learning codebases
• A strong background in biology or medicine
• Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics)
• Experience with real world biological or chemical datasets and biological or chemistry software
• Experience in computational chemistry, bioinformatics, or related fields
• Experience with multi-parameter optimization
• Experience in large scale deep learning, generative models, graph neural networks, deep learning for drug discovery, deep learning for computer vision, 3D graphics/robotics, or real-world applied RL

About the company

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. The company uses AI to model complex biological phenomena to help design novel molecules and develop medicines.