Staff Engineer, Youtube Ads Measurement
Skills
- Java
- Python
- Golang
- C++
- Software Architecture
- Distributed Systems
- Machine Learning
- Data Structures
- Algorithms
- System Design
- Privacy Preserving Technologies
About the role
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.
Responsibilities:
Build product and data insights to steer the direction and roadmap for the team and build models to predict ad conversions using data from various sources.
Lead teams across Google Ads to revolutionize how ads measurement advance state-of-art privacy preserving and ML tecnologies.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
5 years of experience with back end development, across tech such as Java, Python, Golang, or C++ codebases.
3 years of experience with software design and architecture.
Preferred qualifications:
8 years of experience with data structures and algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Familiarity with distributed systems and managing multi-dimensional data at scale.
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