Senior Staff Software Engineer, AI/ML, Google Ads

Google; Mountain View (CA); On-site; USD 248,000 - 349,000; Full time

Job summary

Google Ads software engineers develop next-generation technologies that scale to billions of users. This Senior Staff role focuses on AI/ML leadership within Ads, influencing multiple teams and directing ML infrastructure at Google.

You will own outcomes, shape model deployment strategies, and drive architecture across large-scale systems. The successful candidate will lead ML design, optimization, and evaluation efforts, while mentoring engineers and collaborating across organizations to

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).
• 5 years of design and architecture; and testing/launching software products.
• 5 years of experience with one or more: Speech/audio, reinforcement learning, ML infrastructure, or another ML field.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance large scale software solutions.
• Provide technical leadership on high-impact projects; manage priorities, deadlines, deliverables.
• Facilitate alignment across teams on goals and timelines; coach distributed engineers.
• Drive ML infrastructure optimization and oversee cross-area solution design and implementation.

Skills

Outcome ownership

Decision making

Ambiguity handling

Stakeholder influence

ML design

Model deployment

System design

Software architecture

Testing/launching products

Education

Bachelor’s degree or equivalent

Master’s degree or PhD (preferred)

Job description

Senior Staff Software Engineer, AI/ML, Google Ads

Google

Mountain View, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

• 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 (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

Preferred qualifications:

• 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.

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.

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 $248,000-$349,000 + 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

• 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.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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