Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 1 year of experience with data structures or algorithms.
• 1 year of experience building and developing infrastructure or distributed systems.

Preferred qualifications:

• Experience with Data Mining, interest in scalable data processing.
• Experience with Machine Learning.
• Knowledge of C++ and SQL.

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.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today's digital world.

Responsibilities

• Create a well-lit path for Web Extractions platform to be used by all teams at Shopping to extract information and user sentiments about products from the external sources (web, YT etc).
• Optimise the large scale data processing infrastructure: improve costs/latency of the offer discovery and data processing.
• Improve the various aspects of the offer's quality such as attribute richness, data freshness. Improve the coverage of high-quality (trusted, reliable) retailer domains in the corpus and the depth of their inventory coverage.
• Work across Commerce and Search: share data, signals, tech solutions across organization and tech stack boundaries. Influence Google Search index composition and ranking.
• Develop systems and solutions with a focus on Data mining, Experiments, Logging, Metrics and the associated infrastructure. Create new-to-Google infrastructure which enable step-function improvements in Shopping corpus.