Research Data Scientist, Brand Advertising, YouTube Ads

In this role, you’ll 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’ll 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.

As a Staff CAD Engineer, Silicon Design Environment, you collaborate closely with domain experts across the silicon development spectrum and leverage your experience to deliver the development environment that enables building the chips powering the next generation of Google Cloud systems. You possess excellent communication and collaboration skills, expertise in refining ambiguous intent into engaging solutions, and rally others to develop or deploy them. 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 the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $279000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities

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

• Use custom data infrastructure or existing data models as appropriate using specialized knowledge and design and evaluate models to mathematically express and solve defined problems with limited precedent.

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

• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python); separately 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 experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

• 3 years of work experience with online marketplace design, adtech, and causal inference.

Preferred qualifications:

• PhD degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics, or Business Science.

• 5 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.