# Research Scientist, Generative Modelling for Materials and Chemistry

**Company**: Google DeepMind
**Location**: London, UK
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q15733006

**Apply**: https://job-boards.greenhouse.io/deepmind/jobs/7705247
**Canonical**: https://yubhub.co/jobs/job_9cd2a442-db1

## Description

At Google DeepMind, we're committed to creating extraordinary impact by harnessing diversity of experience, knowledge, backgrounds, and perspectives.

We're looking for a Research Scientist to join our Science unit, where you'll be at the forefront of applying generative AI to predict the structure and properties of complex matter.

As a Research Scientist, you'll design and train advanced AI models to model the structure and properties of complex physical systems, develop a deep understanding of scientific domains, and collaborate with other scientists and engineers to shape the research roadmap.

Key responsibilities include designing and executing robust ML experiments, accumulating small improvements, and sharing results through clear verbal and written communication.

To succeed in this role, you'll need a PhD or equivalent experience in computer science, computational chemistry, materials science, physics, or a related field, with fluency in generative models and transformers.

Experience with modern deep learning frameworks and a record of high-impact published work at the intersection of AI and natural science are also advantageous.

Applications close on Monday 20th April at 5pm BST.

## Skills

### Required
- Generative models
- Transformers
- Deep learning frameworks
- Computer science
- Computational chemistry
- Materials science
- Physics

### Nice to have
- Geometric deep learning
- High-impact published work at the intersection of AI and natural science