Senior Staff Software Engineer, Generative Retail Ad Formats and LLM Applications

Responsibilities

Lead technical strategy and architecture for generative AI retail ad formats, including real-time personalization and composition of ads for complex shopping queries. Drive cross-team initiatives from design through launch, partner with Ads Quality, Commerce, and Search, and improve end-to-end product quality, reliability, and engineering velocity.

Requirements

Requires a bachelor's degree or equivalent practical experience, at least eight years of software development and ML/AI experience, five years of software design and architecture, and seven years leading technical strategy and ML infrastructure. Also requires two years of Generative AI experience; preferred qualifications include a relevant PhD and experience applying LLMs and GenAI to real-world, user-facing products.

Skills

• Software Development
• Data Structures And Algorithms
• Software Design And Architecture
• Machine Learning
• Artificial Intelligence
• Deep Learning
• Generative AI
• Large Language Models
• Model Fine-Tuning
• Model Deployment And Evaluation
• Technical Leadership
• Project Strategy
• System Architecture
• Statistical Methods
• Cross-Functional Collaboration
• Experimentation

Benefits

• Bonus
• Equity
• Benefits

About this role

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.
* 8 years of experience with software development in one or more programming
languages, and with data structures and algorithms.
* 8 years of experience testing, maintaining, or launching software products,
and 5 years of experience with software design and architecture.
* 8 years of experience with ML/AI algorithms and tools, deep learning or other
modeling.
* 7 years of experience leading technical project strategy, ML design, and ML
infrastructure (e.g., model deployment, model evaluation, data processing,
debugging, fine tuning).
* 2 years of experience with GenAI (e.g., LLMs, multi-modal, vision models,
language modeling, computer vision).

PREFERRED QUALIFICATIONS:

* PhD in Computer Science, Statistics, or related fields.
* Experience in GenAI related model fine tuning, large language models building
or product enablement exploration.
* Experience in successfully applying GenAI and machine learning approaches to
real-world content problems.
* Deep familiarity with the Search/Shopping/Ads stack, and solid understanding
of ML and AI concepts with direct experience applying LLMs in user-facing
products.
* Excellent programming skills leveraging GenAI tools, and a strong mindset
with extensive experience navigating data-driven decision-making and driving
cross-functional alignments.
* Strong mathematical skills with knowledge of statistical methods.

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.

The WebSearch Formats team in Retail Ads owns the end-to-end user experience for
Google's flagship shopping ad products on Google.com. We build visual,
interactive, and intelligent ad formats to showcase relevant information for
billions of shoppers worldwide.

Our full-stack engineering scope spans LLM content generation, evaluation, and
serving, as well as system optimizations across the ads quality stack and
backend-frontend integration. Partnering closely with stakeholders across Ads,
Commerce, and Search, we combine system expertise with generative AI to scale
Google’s Retail Ads and build a helpful whole-page shopping experience.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine
learning and Generative AI models like Gemini to power a multi-billion dollar
global business.

Our work directly impacts billions of users by protecting users from harm,
improving ad quality, and optimizing campaigns for advertiser
return-on-investment. We foster a culture of deep collaboration, partnering
closely with teams like Google Research and DeepMind to solve complex
challenges. Join us to work on state-of-the-art AI, take on problems at an
unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Address open-ended problems at the frontier of Generative AI and retail ad
products — such as how to dynamically compose and personalize ad formats in
real time to better serve complex queries and mixed intents.
* Influence organization strategy and prioritization by identifying key areas
worth investing in and defining the technical roadmap. Co-define product
strategy with cross-functional leadership.
* Work closely with Ads Quality, Commerce, and Search stakeholders across the
board. Build deep cross-product area partnerships. Optimize the retail ad
products ecosystem end-to-end and optimize the whole page layouts.
* Own the holistic technical architecture. Manage complex, multi-quarter,
cross-team initiatives from design through launch; proactively diagnose and
resolve cross-system bottlenecks; raise the bar on engineering excellence,
experimentation velocity, and production reliability.

About Google

Software Development · 10,001+ employees · headquartered in Mountain View, CA