Staff Software Engineer, AI/ML, Search Ads

Google

Mountain View, CA

JOB DETAILS
SKILLS
Advertising, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Automation, Best Practices, Business Growth, C Programming Language, C++ Programming Language, Data Analysis, Data Modeling, Data Processing, Data Quality, Data Storage, Debugging Skills, Distributed Computing, Equal Employment Opportunity (EEO), Information Retrieval, Information/Data Security (InfoSec), Internet Search, Java, Large-Scale Systems, Leadership, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Network Design, Problem Solving Skills, Product/Service Launch, Programming Languages, Project/Program Management, Python Programming/Scripting Language, Search Engine Optimization (SEO), Small Business, Software Administration, Software Development, Software Engineering, System Architecture, Test Plan/Schedule, Time Management, Trend Analysis, User Interface Design, YouTube
LOCATION
Mountain View, CA
POSTED
30+ days ago

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • Experience with multimodal machine learning or LLMs, including building and launching products.
  • Experience building, experimenting, and deploying AI-first systems and processes into production.

Preferred qualifications:

  • Experience in applied AI/ML, including model development, fine-tuning, application and evaluation.
  • Experience leveraging Generative AI/LLMs for user-facing problems.
  • Experience designing and building full-stack systems and self-service platforms.
  • Experience with search/ads or quality systems.
  • Familiarity with the latest research and trends in AI/ML, particularly as applicable to data quality and assessment.
  • Understanding of GenAI data, evaluation methodologies, and data quality best practices.

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.

In this role, you will lead efforts, address foundational, open-ended problems in partnership with teams across Ads and DeepMind, and leverage AI to build 10x better ads experiences.

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

  • Optimize the Search results page (including organic results and ads) to co-evolve ads, leverage AI to maintain business generation, create ad experiences, help users find content faster, and enable growth opportunities for advertisers.
  • Leverage AI/ML advancements, including Large Language Models (LLMs) and Agentic AI, to solve optimization problems across search ads, from product innovation to agentic automation.
  • Deliver ad experiences in the world of AI.
  • Design, build, and maintain self-service tools and platform features that embed AI/ML quality evaluation methods.
  • Architect systems for deploying and serving AI/ML models specifically for data quality assessment tasks.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

About the Company

G

Google

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

COMPANY SIZE
10,000 employees or more
INDUSTRY
Computer Software
EMPLOYEE BENEFITS
Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria
FOUNDED
1998
WEBSITE
https://goo.gle/4dbno6V