Software Engineer, Discover UGC Content

Minimum Qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in C++ or Python.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• Experience with large-scale distributed systems.
• Experience with frameworks and tools related to Artificial Intelligence/Machine Learning (AI/ML) development and deployment.
• Experience with search technologies or information retrieval.

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. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Design, develop, test, deploy, and maintain software solutions to improve the quality of User Generated Content (UGC) contents in Discover.
• Implement and experiment with various content quality signals.
• Analyze experiment results and system performance to identify and drive quality improvements.
• Make technical contributions and deliver on end-to-end tasks within project goals.
• Collaborate with executive engineers, data scientists, and product managers to understand requirements, contribute to designs, and build solutions. Contribute to code reviews, documentation, and best practices within the team.