Staff Software Engineer, Google Ads

9 Months ago • 8 Years +
Research Development
Full Stack Development

Job Description

The Staff Software Engineer at Google Ads will lead teams in revolutionizing online ad measurement using privacy-preserving and machine learning technologies. Responsibilities include defining team roadmaps, developing secure computational paradigms, building conversion prediction models, managing project priorities, and collaborating across teams. The role requires strong software development skills (data structures, algorithms, testing, launching products, design, and architecture), experience with large-scale systems, and excellent communication and collaboration skills. This position is crucial for advancing Google Ads' conversion measurement and optimization capabilities while upholding user privacy.
Good To Have:
  • Statistical modeling experience
  • Machine learning/data analytics experience
  • TensorFlow, C++, and ML experience
  • Large-scale system design and development
  • Advertising product experience (Ads or Search)
Must Have:
  • 8+ years software development experience
  • Data structures/algorithms expertise
  • 5+ years testing and launching software
  • 3+ years software design and architecture
  • Lead teams and define roadmaps
  • Develop privacy-safe computational methods
  • Build conversion prediction models

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Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

  • Experience with statistical modeling.
  • Experience with software development, machine learning, or data analytics.
  • Experience with TensorFlow, C++, and Machine Learning.
  • Experience with large-scale system design and development.
  • Experience with advertising products, Ads or Search.
  • Excellent communication, cross-functional collaboration and analysis skills, with the ability to work across teams/organizations and understand multiple large pieces of infrastructure.

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 Privacy Centric Measurement team ensures Google continues to provide accurate conversion measurement and high-quality optimization to its customers.

In this role, you will lead teams across Google Ads to revolutionize how online ads measure by advancing privacy preserving and machine learning technologies.

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.

Responsibilities

  • Define the direction and roadmap for the team.
  • Develop privacy, safe, and secure computational paradigm to solve problems.
  • Build models to predict online conversions using data from various sources in a privacy safe way.
  • Manage priorities between short-term efforts and long-term modeling.
  • Collaborate with cross-functional teams on high-impact projects.

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