The Staff Software Engineer for Machine Learning at YouTube Shopping Recommendations will play a critical role in shaping the future of video commerce on the platform. This position involves leading a team focused on developing personalized recommendations that enhance the shopping experience for millions of users. The engineer will work on cutting-edge applied machine learning and recommendation systems, collaborating with product managers and cross-functional partners. This unique opportunity allows for significant influence in a rapidly evolving area of technology.

• 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, defining the team's charter and identifying new product opportunities.
• Drive viewer growth by designing and implementing machine learning technologies to enhance recommendation quality.
• Collaborate with product managers and cross-functional partners to build a team for billions of users.
• Gain experience across the recommendation system stack, developing technologies such as model architecture and large language models.

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