Research Scientist, Materials Discovery, San Francisco

At Google DeepMind, we value diversity in experience, knowledge, backgrounds, and perspectives, using these qualities to create a profound impact. We are committed to providing equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or domestic partnership status, sexual orientation, gender identity, pregnancy, or related conditions (including breastfeeding), or any other basis as protected by applicable law. If you have a disability or need requiring accommodation, don't hesitate to let us know. Snapshot Science plays a critical role in everything we do at Google DeepMind. Inspired by science from the start, we've built better algorithms. Now, our aim is to use our toolkit to speed up scientific discovery. Projects like AlphaFold and AlphaTensor reflect the potential of our approach. Gathering specialists with backgrounds in fields like machine learning, physics, chemistry, biology, we believe we can develop innovative methods that will push the boundaries of what is possible and help to address some of the biggest challenges facing humanity. About Us Artificial Intelligence may be one of the most beneficial inventions to humanity. At Google DeepMind, we're a team of scientists, engineers, machine learning experts, and others, cooperating to push the boundaries of this field. We use our technologies for widespread public benefit and scientific discovery, collaborate with others on vital challenges, and prioritize safety and ethics. The Role As a Research Scientist, you'll be expected to use your research expertise to work with domain experts and machine learning scientists within our natural science programs. Specifically, you'll be working closely with the Quantum Chemistry and Materials teams. Key responsibilities: Engage with existing research efforts in the Science Program to solve significant challenges using your computational chemistry or materials science expertise. Collaborate with researchers and machine learning engineers to develop unique machine learning methods tailored for natural sciences, particularly quantum chemistry and solid-state physics. Report and present research findings and developments both internally and externally, verbally and in writing. Encourage and participate in team collaborations to meet research goals for the broader science initiative. About You The following skills and experience are ideal for success as a Research Scientist in our Materials Discovery Team: Minimum qualifications Strong mathematical and physics skills. PhD or equivalent research experience. An established record in creating new software to translate research ideas into efficient and maintainable code. Experience in contributing to advances in computational chemistry, electronic structure methods, or condensed matter physics. Experience using quantum chemistry code (e.g., VASP, QuantumESPRESSO, GPAW). In addition, the following qualifications are advantageous: Preferred qualifications Experience contributing to quantum chemistry code (e.g., PySCF, QuantumESPRESSO, GPAW, VASP). Experience applying machine learning techniques to materials discovery and design. Passion for accelerating scientific discovery using innovative technologies! Competitive salaries apply.