Research Scientist, Generative Modelling for Materials and Chemistry

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Snapshot

Join a multidisciplinary team building state-of-the-art generative models in chemistry & materials to accelerate scientific breakthroughs.

About Us

Science is at the heart of everything we do at Google DeepMind. From the beginning we took inspiration from science to build better algorithms and now we use our toolkit to accelerate scientific discovery. By bringing together specialists with backgrounds in machine learning computer science physics chemistry biology and more were optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity.

The Role

As a Research Scientist in our Science unit you will be at the forefront of applying generative AI to the Grand Challenge of predicting the structure and properties of complex matter. You will build foundation models able to navigate vast chemical spaces moving beyond traditional simulation to direct high-speed prediction. Your work will bridge the gap between in silico modeling and real-world laboratory discovery particularly in areas where traditional computational methods are bottlenecked by time and complexity. You will hill-climb evals that represent real-world applications using a problem focused approach careful experimentation and the latest technology in AI.

Key responsibilities:

• Design and train advanced AI models (transformers generative models etc.) to model the structure and properties of complex physical systems.
• Develop deep understanding of scientific domains that can be used to identify novel modelling approaches.
• Design and execute robust ML experiments that allow for the accumulation of small improvements sharing results through clear verbal and written communication.
• Collaborate with other scientists and engineers to help shape the research roadmap.

About You

You are fascinated by the intersection of AI and natural science and determined to help solve grand challenges facing order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience:

• PhD / equivalent experience in computer science computational chemistry materials science physics with a focus on atomistic simulation or structural biology.
• Fluency in generative models and transformers
• Excellent collaboration and communication skills
• Experience with modern deep learning frameworks

In addition the following would be an advantage:

• Record of high-impact published work at the intersection of AI and natural science particularly chemistry and materials science.
• Demonstrated experience in geometric deep learning.

Applications close on Monday 20th April at 5pm BST