Research Software Engineer, Google Research

Google Research is seeking a Research Software Engineer to join their team working on next-generation intelligent systems, specifically focusing on Gemini capabilities. This role combines software engineering expertise with machine learning research, working at the frontier of large language model development. The position involves improving key capabilities like multi-turn interactions, factuality, and search for Gemini through innovative research approaches and practical implementation.

The ideal candidate will have strong software development experience combined with expertise in machine learning, particularly in LLM training and generative models. They will be responsible for designing and conducting experiments, implementing evaluation strategies, and collaborating across teams to bring new model capabilities to production. The role offers the opportunity to work with cutting-edge AI technology while contributing to products that impact billions of users.

Working at Google's Mountain View location, you'll be part of a dynamic team that measures and improves key capabilities for Gemini. The position offers competitive compensation ($166,000-$244,000 base salary) plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for someone passionate about advancing the field of AI while working on practical applications at scale.

The role requires both technical depth and research acumen, as you'll be reviewing latest literature, designing experiments, and implementing solutions for complex modeling challenges. You'll have the chance to present your work to executive stakeholders and help shape the development roadmap for one of Google's most important AI initiatives.