The Engineering Manager for ML Efficiency on the AI Rapid Response Team at Google will lead a high-performing team of AI/ML systems engineers. This role involves balancing technical contributions with strategic leadership, guiding engineers across multiple teams and locations. The manager will drive technical architecture and oversee the deployment of large-scale projects. The position requires a blend of deep technical expertise and the ability to influence stakeholders effectively.

• 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 with ML design and ML infrastructure.

• Lead technical pathfinding and system design for the ML Efficiency Hub.
• Design, prototype, and write production C++ and Python code alongside your team.
• Take ill-defined executive mandates and deliver highly persuasive Thinnest Viable Proofs.
• Perform deep compute surgery on legacy P0 pipelines and evaluate complex architectural trade-offs.
• Establish concrete 'Graceful Exit Packages' for partner catching teams.

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