The Senior Staff Software Engineer role focuses on Data and Model Insights and Infrastructure at Google. This position involves leading technical project strategy and working with machine learning infrastructure to enhance software solutions. The team is responsible for building scalable and automated infrastructure for managing machine learning assets. Engineers in this role will also mentor others and engage in high-level technical discussions across the organization.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy and working with ML infrastructure.
• 5 years of experience with one or more ML fields such as speech/audio or reinforcement learning.
• 5 years of experience with design and architecture, and testing/launching software products.

• Understand the design and architecture of highly complex ML pipelines and distributed systems.
• Drive the adoption of next-generation AI/ML techniques to solve ambiguous, high-impact business problems.
• Set the gold standard for code quality, testing, and deployment within the team.
• Mentor senior and mid-level engineers, fostering a culture of technical growth.
• Partner with researchers to operationalize models and align technical roadmaps with user needs.

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