Senior Research Scientist, Deep Learning Data

Google Research is seeking a Senior Research Scientist specializing in Deep Learning Data to join their team focused on building the most scalable and accessible graph library. This role combines fundamental research with practical applications, particularly in Gemini Data development. The position offers an opportunity to work on cutting-edge problems in deep learning, graph algorithms, and large-scale data processing.

The ideal candidate will have a PhD in Computer Science or related field, with proven experience in leading research initiatives and contributing to the scientific community through publications. The role involves developing new methods for dataset evaluation, running experiments with models, and creating comprehensive data evaluation pipelines.

Working at Google Research means being part of a team that impacts technology used by billions of people daily. The position offers competitive compensation ($161,000-$239,000 base salary) plus additional benefits, equity, and bonuses. You'll have the opportunity to work from either New York or Mountain View offices, collaborating with world-class researchers and contributing to open-source projects.

The role combines technical expertise in machine learning and data science with leadership responsibilities, requiring both deep technical knowledge and the ability to influence research directions. You'll be working on real-world problems, from fundamental research to product innovation, with the freedom to explore new ideas while maintaining focus on practical applications.

Google's commitment to sharing research and tools with the broader scientific community means your work will have impact beyond the company itself. The position offers the chance to work with large-scale data, contribute to cutting-edge AI systems like Gemini, and shape the future of graph mining and data infrastructure.

The role provides an excellent opportunity for career growth, offering exposure to diverse projects and the chance to work with leading researchers. Google's collaborative environment, combined with its resources and commitment to innovation, makes this an ideal position for someone looking to make significant contributions to the field of machine learning and data science.