Software Engineering Manager, ML and GenAI, Ads Safety

Software Engineering Manager, ML and GenAI, Ads Safety corporate_fare Google place Mountain View, CA, USA ; New York, NY, USA bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. info_outline

X Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA .

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 8 years of experience building AI-powered products, featuring technologies such as long context windows, Retrieval Augmented Generation (RAG), or similar. 2 years of experience in a people management, supervision/team leadership role. Experience building and architecting production quality Machine Learning (ML) systems. Experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production. Experience building production quality ML systems.

Preferred qualifications:

Experience in software engineering, applied ML, autonomous systems, and large-scale systems design. Experience in machine learning, large language model, large-scale data processing, project management, Generative AI Agent, thought leadership. Experience coordinating work between partners. Excellent cross-functional team collaboration skills. Proven track record in technical project management, with the ability to drive complex, multi-quarter ML initiatives to successful completion. 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. The US base salary range for this full-time position is $207,000-$300,000 + 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 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 . Responsibilities Manage a team of engineers who are focused on: enhancing and architecting the rollout of architecture across all new and refreshed workhorse models, solving the bottlenecks of traditional monolithic models and allowing parallel policy head updates.