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Staff Software Engineer, Ads Content Safety

Google

Mountain View, CAJob$207–300K/yrSeen 2 days agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$207–300K/yr
Location
Mountain View, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Google is seeking a Staff Software Engineer to build Ads content-safety systems that use AI and LLMs to enforce policies, improve ad quality, and reduce user harm. The role involves technical roadmaps, architectural experimentation, and large-scale software development, alongside technical leadership and mentoring. The engineer will collaborate across teams on consumer trust challenges and systems handling massive query volumes and complex policy cases.

Skills & qualifications

RequiredNice to have

Skills

Software DevelopmentSoftware TestingSoftware LaunchFull Stack DevelopmentJavaPythonGolangC++JavaScriptTypeScriptHTMLCSSSoftware DesignSoftware ArchitectureGenerative AI IntegrationLLM IntegrationTechnical Project StrategyML DesignML Infrastructure OptimizationModel DeploymentModel EvaluationData ProcessingDebuggingFine-TuningReinforcement LearningGenerative AILarge Language ModelsPrompt EngineeringModel DistillationCommunication

Qualifications

Bachelor's Degree or Equivalent8 Years Software Development5 Years Testing and Launching5 Years Full Stack Development3 Years Software Design and Architecture5 Years Technical Project Strategy5 Years ML ExperienceEnglish Proficiency

Full job description

Staff Software Engineer, Ads Content Safety

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Advanced

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

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience testing, and launching software products.

  • 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

  • 3 years of experience with software design and architecture.

  • Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

  • 5 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 one or more of the following: reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

  • Experience with Generative AI, LLMs, prompt engineering, and model distillation techniques, or the ability to rapidly master and guide team architectures in these spaces.

  • Excellent communication skills working with cross-functional partners, privacy, and legal.

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 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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Define technical roadmaps and deliver models and agents to automate policy enforcement, improve velocity, and reduce user harm.

  • Drive rapid prototyping and experimentation on architectural options for next-generation consumer trust enforcement using AI and LLM solutions.

  • Identify and implement architecture improvements to build multi-tiered systems that manage massive query volumes and resolve complex policy cases.

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

  • Provide technical leadership, mentor distributed engineering teams, and facilitate alignment on goals, outcomes, and timelines.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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