Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Waterloo, ON, Canada . 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 developer goes beyond just Search. Software Developing Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Developers. You not only optimize your own code but make sure Developers are able to optimize theirs. As a Software Developing 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 developers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage developers 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 about benefits at Google .

Responsibilities

• Recruit, hire, and mentor a team of applied scientists and developers, 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.

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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .