Engineering Manager, Machine Learning (Safety)

Job description

We're looking for a highly technical, hands-on, and mission-driven Engineering Manager to lead our Safety ML team. As the manager responsible for Safety ML, you will own the detection systems that sit between attackers and our users; real-time and batch models for content understanding, account integrity, and platform abuse.

Responsibilities

• Build and lead an exceptional team of highly-engaged ML engineers by hiring, coaching, and instilling a sense of ownership and impact.
• Drive the technical vision and roadmap for Safety ML by collaborating with your team and partners across Trust & Safety, Product, Policy, Legal, and Data Science.
• Own the end-to-end lifecycle of production safety models: defining new capabilities, measuring performance, and monitoring the operational health of systems that make millions of enforcement decisions per day.

Requirements

• Manage processes and leverage your technical expertise to continually raise the bar and ensure your team delivers extraordinary results.
• Partner with Trust & Safety on label quality, golden sets, and automating manual investigations.
• Work with other Engineering Managers to continuously improve the Engineering organization and uphold our workplace philosophy .