Software Engineer, ML, Google Ads
Company: Google
Location: Mountain View
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 2 years of experience with software
development in one or more programming languages, or 1 year of
experience with an advanced degree. 1 year of experience with ML
infrastructure (e.g., model deployment, model evaluation, data
processing, debugging). Experience using SQL for data extraction,
manipulation, and analysis. Experience developing software
applications using the C++ programming language. Preferred
qualifications: Master's degree or PhD in Computer Science or
related technical fields. 2 years of experience with data
structures and algorithms. Experience in one of the following:
optimization, ML, statistics, auction theory. Ability to apply
technical foundations, especially around coding, data analysis,
building features, and experimentations. About the job Google's
software engineers develop the next-generation technologies that
change how billions of users connect, explore, and interact with
information and one another. Our products need to handle
information at massive scale, and extend well beyond web search.
We're looking for engineers who bring fresh ideas from all areas,
including information retrieval, distributed computing, large-scale
system design, networking and data storage, security, artificial
intelligence, natural language processing, UI design and mobile;
the list goes on and is growing every day. As a software engineer,
you will work on a specific project critical to Google’s needs with
opportunities to switch teams and projects as you and our
fast-paced business grow and evolve. We need our engineers to be
versatile, display leadership qualities and be enthusiastic to take
on new problems across the full-stack as we continue to push
technology forward. As a part of AViD, Google’s App Ads, Video Ads,
and Display ads organization, you will contribute to fulfilling
Google's mission of making information universally accessible,
building software that empowers content publishers, app developers
and advertisers to monetize their content and apps, while
connecting customers to businesses that help them grow. As a part
of a team operating at massive scale across disciplines such as
machine learning, big data, front-end engineering, distributed
systems, and advanced data mining, you will help create the network
and ecosystem that makes great content free, accessible, and
enjoyable Internet users worldwide. You will be responsible for
end-to-end project ownership for improving Google ads buying on
display ad exchanges through bid optimization and prediction
quality improvements. The US base salary range for this full-time
position is $147,000-$211,000 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 Write product or system development code.
Collaborate with peers and stakeholders through design and code
reviews to ensure best practices amongst available technologies
(e.g., style guidelines, checking code in, accuracy, testability,
and efficiency). Contribute to existing documentation or
educational content and adapt content based on product/program
updates and user feedback. Triage product or system issues and
debug/track/resolve by analyzing the sources of issues and the
impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML
infrastructure, and contribute to model optimization and data
processing.
Keywords: Google, Carmichael , Software Engineer, ML, Google Ads, IT / Software / Systems , Mountain View, California
