Senior Staff Software Engineer, AI/ML, Google Ads
Job Description
About the Role
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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. Our teams build Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. We create trusted experiences between people and businesses with useful ads, helping grow businesses of all sizes and enabling Google to engage with customers at scale.
Key Responsibilities
- Design, develop, test, deploy, maintain, and enhance large scale software solutions.
- Provide technical leadership on high-impact projects.
- Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
- Influence and coach a distributed team of engineers.
- Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
Nice to Have
- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in an organization involving cross-functional, or cross-business projects.
Qualifications
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
Benefits & Perks
- US base salary range for this full-time position is $248,000-$349,000 plus bonus, equity, and benefits.
- Benefits at Google can be learned more at https://careers.google.com/benefits/.
Working at Google
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.
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About Google
Website
google.com
Location
Mountain View, CA
Industry
Web Search Portals and All Other Information Services
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