Minimum qualifications:
- Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
- 7 years of experience in software development, and with data structures/algorithms in one or more programming languages (e.g., Python, C, C++).
- PhD in Computer Science, Mathematics, Statistics, or a related field involving mathematics and statistical methods.
- 3 years of experience with applied data science and statistical methods, ML algorithms and tools, or applied ML(e.g., deep learning, NLP, LLM).
- Experience in research and development of novel methods, algorithms, or models using statistics and machine learning.
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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.The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
Responsibilities
- Provide measurement, analysis, and optimization of data quality.
- Lead generation of disruption transit alerts.
- Manage data infrastructure for feeds ingestion, processing speed optimization, and analysis.
- Identify and prevent production outages due to data.
- Build data experimentation frameworks and measurement capabilities.