Senior Staff Software Engineer, Search Ads, AdsML, LLM

Google Inc.; Pittsburgh (Allegheny County); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Senior Staff Software Engineer for Search Ads, AdsML, and LLM to own outcomes and steer architecture for GenAI initiatives at scale. You will influence stakeholders, solve ambiguous problems, and drive end-to-end ML-powered solutions within Google Ads.

The role requires deep ML systems expertise, model deployment and evaluation, and leadership across multi-disciplinary teams. You will mentor engineers, shape technical direction, and deliver robust software from research to

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in Python or C++.
• 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.
• 2 years of experience with state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or GenAI-related concepts (language modeling, computer vision).

Responsibilities

• Manage project priorities, deadlines, and deliverables.
• Design, develop, test, deploy, maintain, and enhance software solutions.
• Engage with modeling teams to explore ML techniques across applications.
• Prototype new modeling techniques; analyze quality and cost, and make improvements.
• Change infrastructure (training and serving) to support new modeling techniques; improve robustness and usability.

Skills

Python

C++

ML design

Project leadership

Stakeholder influence

Problem solving

ambiguity resolution

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Tools

Model deployment

Model evaluation

Data processing

Debugging

Fine tuning

Job description

Senior Staff Software Engineer, Search Ads, AdsML, LLM

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

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience programming in Python or C++.
• 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.
• 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Pittsburgh, PA, USA.

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.

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

Learn more about benefits at Google.

• Work across many different aspects of machine learning modeling and infrastructure. Responsibilities include: engaging with modeling teams to explore these modeling techniques across many different applications.
• Prototype new modeling techniques. Analyze and debug quality and cost, and making improvements.
• Change infrastructure (training and serving) to support new modeling techniques. Improve robustness, reliability, usability of infrastructure.
• Collaborate closely with other members of our team and partners to build systems that take advantage of and integrate seamlessly across our ecosystem. Engage with modeling teams to explore these modeling techniques across many different applications.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.