LLM Research Engineer

Google DeepMind is at the forefront of artificial intelligence research, combining deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms. As an LLM Research Engineer, you'll join an interdisciplinary team working on groundbreaking projects like AlphaFold and AlphaMissense. The role focuses on advancing science using large language models and machine learning techniques, working across biology, physics, mathematics, and other scientific domains.

You'll collaborate with researchers and software engineers to develop and run experiments exploring new AI applications, particularly focusing on LLMs in scientific problems. The position offers unique opportunities to work with cutting-edge technology and contribute to pioneering research that bridges AI and science. The team values diversity, encourages collaboration, and promotes free learning sharing.

The ideal candidate should be passionate about scientific advancement and comfortable working with large, noisy datasets in an experimental setting. While expertise in all areas isn't required, some experience in scientific, ML, and computational fields is necessary. The role offers the chance to work on significant scientific challenges using state-of-the-art AI technology, with access to unique expertise, data, and computational resources.

Google DeepMind provides an inclusive environment where ambitious goals and boundary-pushing are encouraged. You'll be part of a team that has already achieved several high-profile breakthroughs in artificial general intelligence and continues to make significant progress in the field. This is an opportunity to contribute to transformative research that aims to benefit society while working with world-class experts in both AI and various scientific domains.