Senior Research Scientist, Search Ads Quality
Company: Google
Location: Mountain View
Posted on: April 3, 2026
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Job Description:
Minimum qualifications: PhD degree in Computer Science, a
related field, or equivalent practical experience. 2 years of
experience leading a research agenda. Experience in one or more
areas of Machine Learning, such as AI algorithms, AI platforms or
Generative AI Agents. One or more scientific publication
submissions for conferences, journals, or public repositories (such
as NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, NAACL, CVPR, etc.).
Preferred qualifications: Experience with software development in a
practical setting. Experience in statistical modeling or ML or
mathematical modeling in industry or in academia. Experience with
TensorFlow, Adbrain, Flume, Keras. Experience with Ads (e.g.,
auction theory, etc.). Knowledge of data analysis. 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. In this role, you will bridge the gap between
research and product, delivering launches while publishing in
conferences. You will need to have proficiency in C++ and Python
and experience in Ads or AI. You will operate as a startup within
Google and offer a collaborative environment with significant
opportunities for technical growth and leadership. Google Ads is
helping power the open internet with the best technology that
connects and creates value for people, publishers, advertisers, and
Google. We’re made up of multiple teams, building Google’s
Advertising products including search, display, shopping, travel
and video advertising, as well as analytics. Our teams create
trusted experiences between people and businesses with useful ads.
We help grow businesses of all sizes from small businesses, to
large brands, to YouTube creators, with effective advertiser tools
that deliver measurable results. We also enable Google to engage
with customers at scale. The US base salary range for this
full-time position is $174,000-$252,000 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 .
Responsibilities Solve Ads issues while maintaining high-quality
and low-latency performance standards. Collaborate with Ads and
Research teams to design and implement solutions. Utilize various
AI technologies, including Agentic AI, Large Language Model (LLM)
fine-tuning, and Large Embedding Model (LEM) optimization. Work
alongside AI/ML experts from various fields to address critical
advertising problems. Publish novel research and share technical
insights with the global academic community.
Keywords: Google, Livermore , Senior Research Scientist, Search Ads Quality, IT / Software / Systems , Mountain View, California
