Engineering Manager - Machine Learning, Safety

Discord's Safety ML team builds the machine learning systems that protect 200M+ users. The team's mission is to make Discord a place where people can build genuine friendships without exposure to harm, at a scale where manual review alone can never keep up.

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.

What You'll Be Doing

• 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.
• 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.

What you should have

• You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist.
• You have 3+ years of experience as an Engineering Manager and successfully managed a team of 5+ engineers.
• You have hands-on depth in at least one of: abuse/fraud detection, content classification, behavioral modeling, graph-based modeling, or LLM-based classification systems.
• You have strong communication skills and the ability to work well cross-functionally.
• You thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them.
• You are a first principles thinker that can work with others to come up with pragmatic solutions.
• You have a proven record of shipping ML systems to production at scale.
• You are passionate about coaching and leading other engineers, but can roll up your sleeves and get elbow deep in code when needed.
• You keep up with the industry trends and continuously identify new technologies to leverage to solve technical problems

Base Salary 272000 - 340000 USD