Senior Research Scientist, Gemini Release Evaluations, DeepMind

Experteer Overview In this role you advance AI research at DeepMind, shaping impactful scientific work and contributing to product innovations for billions of users. You will lead research agendas, publish findings, and help align academic excellence with real-world deployment. You will drive data-driven evaluation, expand datasets, and bridge research results with production systems. This opportunity enables you to influence frontier AI responsibly within a collaborative, interdisciplinary environment. Compensation / Benefits * Author and disseminate research findings to the community and across functions * Define data structures, frameworks, design, and evaluation metrics; manage timelines and resources * Develop SOTA datasets to push frontier models and close gaps in release evaluations * Clarify the relationship between static evaluations and live production traffic Tasks * PhD in Computer Science or related field (or equivalent practical experience) * 2 years leading a research agenda * 1 year of experience in a data science field * Experience with AI model training, testing, evaluation, and tuning; familiarity with LLM release cycles and timeline management * 2 years coding experience (preferred) Key requirements * bonus target (15%) * equity * benefits

Experteer Overview In this role you advance AI research at DeepMind, shaping impactful scientific work and contributing to product innovations for billions of users. You will lead research agendas, publish findings, and help align academic excellence with real-world deployment. You will drive data-driven evaluation, expand datasets, and bridge research results with production systems. This opportunity enables you to influence frontier AI responsibly within a collaborative, interdisciplinary environment. Compensation / Benefits * Author and disseminate research findings to the community and across functions * Define data structures, frameworks, design, and evaluation metrics; manage timelines and resources * Develop SOTA datasets to push frontier models and close gaps in release evaluations * Clarify the relationship between static evaluations and live production traffic Tasks * PhD in Computer Science or related field (or equivalent practical experience) * 2 years leading a aaaaaau _ agenda * 1 year of experience in a data science field * Experience with AI model training, testing, evaluation, and tuning; familiarity with LLM release cycles and timeline management * 2 years coding experience (preferred) Key requirements * bonus target (15%) * equity * benefits