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.
Looking for applicants who are passionate about working in the area of data acquisition and ML ready training data to power all Google's product lines and models.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Improve the crawl scheduling infrastructure.
- Develop signals towards understanding the web and customer's data interest to enable intelligent crawl decisions and web data targeting.
- Improve the quality of acquired data by improving data relevance and fighting low-quality content (e.g. spam).
Qualifications
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience coding in C++ and Python.
- 2 years of experience with algorithms.
- 2 years of experience with distributed processing.
- 2 years of experience with Flume.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data analytics.
- 2 years of experience with machine learning algorithms.