Research Data Scientist, YouTube Gaming Discovery

In this role, you will work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You will be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.

Google’s data centers are the most advanced in the world. In this role, you will help build the state-of-the-art SoC’s that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. You will have an opportunity to create silicon and follow it into the field and back to drive improvements for the next-generations of chips.

As a part of this role, you will have an understanding of Integrated Circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. You will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams within the larger organization.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Responsibilities

• Collaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.

• Use custom data infrastructure or existing data models. Design and evaluate models to mathematically express and solve defined problems with limited precedent.

• Gather information, business goals, priorities and organizational context around the questions to answer as well as the existing and upcoming data infrastructure.

• Own the process of gathering, extracting and compiling data across sources via relevant tools (e.g., SQL and Python). Format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis.

Qualifications Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.

• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred qualifications:

• Experience with machine learning and experiment design principles.

• Experience with recommender systems.