Google DeepMind is at the forefront of artificial intelligence research and development, bringing together brilliant minds in science, engineering, and machine learning. We're seeking a Research Engineer to join our innovative team working on Large Language Models (LLMs) and generative AI technologies.
The role focuses on developing theoretically-founded methods for LLMs and advancing the state-of-the-art in AI. You'll work on large-scale sequence modeling, collaborating with researchers to transform innovative ideas into reality. The position requires expertise in Python, JAX/PyTorch, and deep understanding of neural networks and LLMs.
This is an exciting opportunity to work with cutting-edge AI technology at one of the world's leading AI research organizations. You'll be part of a team that values diversity, innovation, and scientific discovery, while maintaining a strong focus on AI safety and ethics. The role offers competitive compensation, comprehensive benefits, and the chance to work on projects that could significantly impact the future of AI technology.
The ideal candidate combines strong technical skills with excellent communication abilities, thrives in an ambiguous environment, and has a passion for AI advancement. You'll have the opportunity to work across the entire LLM stack, from pretraining to serving, and collaborate with world-class researchers and engineers.
Join us in our mission to advance AI for widespread public benefit and scientific discovery, while ensuring safety and ethics remain at the forefront of our work.