Technical Lead Manager, ML and GenAI, Ads Safety

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Advertising, Android, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Artificial Intelligence (AI) Programming Languages, Business Growth, Channel Strategies, Cloud Computing, Consulting, Cross-Functional, Data Processing, Data Storage, Distributed Computing, English Language, Equal Employment Opportunity (EEO), Field Sales, Genetics, Government, Incident Response, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Large-Scale Systems, Leadership, Machine Learning, Modeling Languages, Natural Language Processing (NLP), Network Design, Operations Management, People Management, Product/Service Launch, Production Machining, Production Systems, Program Planning, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Security Architecture, Small Business, Software Administration, Software Engineering, Startup, Supply Chain Management, Team Lead/Manager, Team Player, Technical Leadership, Telecommunications, Test Plan/Schedule, Thought Leadership, Time Management, User Interface Design, Vehicle Driving, YouTube
LOCATION
Mountain View, CA
POSTED
29 days ago

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Technical Lead Manager, ML and GenAI, Ads Safety

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

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

Minimum qualifications:

  • Bachelors 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 Googles 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. Were made up of multiple teams, building Googles 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 $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 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

  • 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate 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 also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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