The Staff Software Engineer for Machine Learning at YouTube Shopping Recommendations will play a critical role in shaping the future of video commerce by developing personalized recommendations for millions of users. This position involves working with a senior team focused on applied machine learning and recommendation systems. The engineer will collaborate with cross-functional partners to enhance the shopping experience on YouTube. This role requires a blend of technical leadership and innovative problem-solving to drive viewer growth and improve recommendation quality.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing and launching software products.
• 3 years of experience with software design and architecture.
• 5 years of experience building and deploying recommendation systems models in production.
• 5 years of experience with machine learning design and infrastructure.
• Experience with C++ or Python.

• Guide the development of personalized recommendations for the YouTube Shopping experience.
• Serve as a technical leader responsible for defining the team's charter and executing projects.
• Drive viewer growth by designing and implementing machine learning technologies and algorithms.
• Collaborate with the product manager and cross-functional partners to build a team for billions of users.
• Gain experience across the recommendation system stack and develop technologies such as model architecture.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.