Senior ML Infrastructure Engineering Manager

Google; Pittsburgh (Allegheny County); On-site; USD 262,000 - 364,000; Full time

Job summary

Google, based in the United States, seeks a Software Engineering Manager for Machine Learning Infrastructure within the Ads Privacy and Safety organization. You will lead multiple teams of engineers and managers, setting technical direction and long-term roadmap, while mentoring talent across the organization.

You will bridge ML research and production, scale platforms for content and actor detection, and collaborate with cross-functional partners to align infrastructure with evolving ML models.

Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of technical leadership and people management experience, including in leading managers.
• 8 years of experience with software development.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience building and developing large-scale infrastructure or distributed systems.

Responsibilities

• Lead and grow an organization of multiple engineers and managers, providing technical direction and career mentorship to scale the team’s impact.
• Oversee the strategy and execution of ML infrastructure, ensuring the platforms used for content and actor detection are robust, scalable, and efficient.
• Collaborate with cross-functional partners to align infrastructure capabilities with the evolving needs of machine learning models and safety enforcement.
• Drive the technical roadmap for the platform, balancing long-term architectural improvements with the immediate operational needs of the Ads Safety organization.
• Manage organizational health and operational excellence, establishing high standards for engineering practices and fostering a high-performing team culture.

Skills

Technical leadership

People management

Software development

ML infrastructure

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Tools

Model deployment

ML platforms

Job description

Google, based in the United States, seeks a Software Engineering Manager for Machine Learning Infrastructure within the Ads Privacy and Safety organization. You will lead multiple teams of engineers and managers, setting technical direction and long-term roadmap, while mentoring talent across the organization.

You will bridge ML research and production, scale platforms for content and actor detection, and collaborate with cross-functional partners to align infrastructure with evolving ML models.