Senior Staff Research Scientist, AdsAI

Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 6 years of experience with research agendas across multiple teams or projects.
  
• Experience developing Large Language Models or Generative AI innovations, and applying them to products.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.
  

Preferred qualifications:

• 4 years of experience leading multiple research efforts and influencing research direction.
  
• 2 years of coding experience, in C++ and Python.
• Research experience in Machine Learning/Artificial Intelligence (ML/AI).
• Experience in ads, commerce, or retail use cases.

About the job

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

AdsAI is a unique team in Ads that applies ML and AI technology to solve deep challenges in Ads, with a focus on Large Modeling (both LLMs and LEMs), Multimodal GenAI and Agentic Reasoning.

In this role, you will have an opportunity to grow in scope and make deep technical contributions, in both research innovations and product impact.

Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.

The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

In this role, you will have an opportunity to grow in scope and make deep technical contributions, in both research innovations and product impact.

Responsibilities

• Author research papers to share and generate impact of research results across organization and in the research community.
• Contribute to research growth by sharing research trends and best practices within the community by reviewing academic papers, serving on program committees and grant panels, speaking at Google events or research conferences, or organizing research conferences and visioning activities.
• Deliver full projects by defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Own long-term research strategy and plans to expand the impact of Google research.
• Drive technical innovation in AI/ML and impactful launches for Ads products.