Job description
Software Engineering Manager, Google Ads Safety Foundational Modeling
_corporate_fare_ Google _place_ 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 in Computer Science or related technical field, or equivalent practical experience.
+ 8 years of experience with software development.
+ 5 years of experience in a people management, supervision/team leadership role.
+ Experience in Machine Learning Infrastructure.
+ Experience in AI and machine learning, including generative AI and LLMs.
**Preferred qualifications:**
+ Experience building complex software systems involving deep learning and Large Language Models (LLM).
+ Experience delivering scalable and high-quality ML solutions.
+ Experience delivering scalable and high-quality ML solutions with a proven track record of publication at ML conferences and journals.
+ Familiarity with training and evaluating Large Language Models (LLMs) and other generative AI systems.
**About the job**
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search.
Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers.
You not only optimize your own code but make sure Engineers are able to optimize theirs.
As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.
Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.
Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Actor Safety Foundational Modeling (ASFM) team's mission is to protect Google Ads users from harm by building the core models and infrastructure that enable the detection and prevention of abusive behavior.
We do this by developing AI/ML models to deeply understand the behavior of advertisers in the Google Ads ecosystem.
We provide infrastructure creating robust, scalable infrastructure that allows our detection and enforcement teams to identify and act on bad actors quickly/effectively.
We innovate and rapidly deploy new solutions to ensure we are always one step ahead of those who seek to abuse our platform.
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 aboutbenefits at Google (https://careers.google.com/benefits/) .
**Responsibilities**
+ Recruit, hire, and mentor a team of applied scientists and engineers, helping them grow.
+ Define your team's long-term plan, turning business goals into practical and scalable AI/ML solutions.
+ Guide your team in building, testing, and launching machine learning models from start to finish.
+ Work with business and product leaders to find the best opportunities and ensure our solutions directly improve key results.
+ Implement the best methods and tools for quickly building and scaling our machine learning models.
Explain complex technical ideas to both executive leaders and people without a technical background.
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.
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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