Senior Engineering Manager, ML Infrastructure for Ads Safety

This role is based in Pittsburgh, PA.

Compensation:

$262,000-$365,000/year + bonus + equity + benefits

Responsibilities:

• Lead and grow an organization of multiple engineers and managers, providing technical direction and career mentorship.
• Oversee the strategy and execution of ML infrastructure for content and actor detection.
• Collaborate with cross-functional partners to align infrastructure capabilities with evolving machine learning needs.
• Drive the technical roadmap, balancing long-term improvements with immediate operational needs.
• Manage organizational health and operational excellence, establishing high standards for engineering practices.

Minimum qualifications:

• Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
• 8 years of technical leadership and people management experience.
• 8 years of experience with software development.
• 5 years of experience leading ML design and optimizing ML infrastructure.
• 5 years of experience building and developing large-scale infrastructure or distributed systems.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience in software engineering focused on infrastructure systems or machine learning platforms.
• 5 years of experience in technical leadership, managing engineering managers.
• Experience building and scaling ML infrastructure.