Research Scientist/Engineer - LLM Planning

Google DeepMind is at the forefront of artificial intelligence research, bringing together top scientists, engineers, and machine learning experts to advance AI for the benefit of humanity. This role presents an exciting opportunity to join their team as a Research Scientist/Engineer, focusing on enhancing LLM capabilities in solving planning and related problems.

The position offers a unique blend of theoretical research and practical application, where you'll investigate the theoretical limits of LLMs, their ability to compute optimal solutions, and how they interpret constraints and preferences. You'll work on both small and large-scale problems, with the opportunity to see your research implemented in Google products used by millions.

The ideal candidate will bring both research acumen and engineering expertise to the role. You'll be working in a dynamic environment that values diversity of experience and perspectives, with access to cutting-edge resources and collaboration opportunities with leading experts in the field. The role requires someone who can thrive in ambiguity and adapt quickly to changing priorities.

Key aspects of the role include conducting groundbreaking research on LLMs and planning problems, implementing solutions at scale, and working closely with product teams to bring innovations to market. You'll be supported by comprehensive benefits, including competitive compensation, health coverage, and various workplace amenities.

Located in either Mountain View, CA or Boulder, CO, you'll be part of a team that's shaping the future of AI technology. The position offers significant growth potential and the opportunity to work on projects that could fundamentally advance our understanding and application of large language models in planning and optimization problems.

This is an ideal role for someone passionate about AI who wants to contribute to meaningful research while seeing their work make a real-world impact. The collaborative environment, combined with Google DeepMind's resources and commitment to ethical AI development, makes this an exceptional opportunity for career growth and scientific contribution.