Senior Staff Software Engineer, Discover Ads Retrieval
Company: Google
Location: Mountain View
Posted on: April 6, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 8 years of experience with software
development in one or more programming languages. 7 years of
experience testing, maintaining or launching software products, and
1 year of experience with software design and architecture. 7 years
of experience with AI/ML algorithms and tools, deep learning and
AI/ML modeling. Experience building and deploying recommendation
systems models (e.g., retrieval, prediction, ranking,
personalization, search quality, embedding) in production.
Preferred qualifications: Master degree or PhD in Computer Science,
or a related field. 8 years of experience with data structures and
algorithms and large language model applications. 5 years of
experience in a technical leadership role leading project teams and
setting technical direction. Experience developing algorithms
(e.g., ranking, recommendations, prediction, search quality,
personalization) and software that generates suggestions based on
various input and output goals. Experience in quality working on
content recommendation or user personalization problems. Experience
in successfully applying machine learning approaches to real-world
content problems, and excellent programming skills in Python. 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. With your technical expertise you will manage
project priorities, deadlines, and deliverables. You will design,
develop, test, deploy, maintain, and enhance software solutions.
Discover is a proactive, recommendation-driven surface. We innovate
on the Machine Learning (ML) models and applicant generation
strategies that filter millions of potential ads down to a
high-quality subset. Our work directly determines the upper bound
of the entire ads system’s performance. In this role, you will lead
the retrieval strategy that connects users with the most relevant
ads in their discover feed, a primary driver of Google’s social ads
effort. You will retrieve high-quality relevant ads that provide
real value to a user. 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 $262,000-$365,000 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 Be the primary
technical authority for our retrieval stack and move beyond
incremental tuning to drive step-functions in ad relevance and
quality. Lead a team of ML engineers to explore the frontiers of
embedding-based retrieval, deep learning architectures, and
multi-objective optimization (user value vs. advertiser success).
Define the roadmap for retrieval quality. This includes moving from
legacy retrieval methods (e.g., two-tower models, transformer-based
embeddings, and generative retrieval). Innovate on how we measure
and improve relevance. Lead efforts to align retrieval outputs with
long-term user satisfaction and advertiser Return on Investment
(ROI) ensuring we aren't just retrieving clicks, but value. Design
next-generation applicant generation strategies. Oversee the
integration of fresh signals (user intent, content semantics, and
social trends) into our retrieval models to capture the dynamic
nature of the discover feed.
Keywords: Google, Novato , Senior Staff Software Engineer, Discover Ads Retrieval, IT / Software / Systems , Mountain View, California