Skill Compatibility Diagnostics
Live technical match evaluated against role architecture & expected skills.
Consider reviewing the missing technical prerequisites before submitting your application.
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About the Role
Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games.
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.
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Key Technical Responsibilities
- check_circle Build and lead an exceptional team of highly-engaged ML engineers by hiring, coaching, and instilling a sense of ownership and impact.
- check_circle 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.
- check_circle 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.
- check_circle Manage processes and leverage your technical expertise to continually raise the bar and ensure your team delivers extraordinary results.
- check_circle Partner with Trust & Safety on label quality, golden sets, and automating manual investigations.
- check_circle Work with other Engineering Managers to continuously improve the Engineering organization and uphold our workplace philosophy.
Prerequisites & Qualifications
- check You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist.
- check You have 3+ years of experience as an Engineering Manager and successfully managed a team of 5+ engineers.
- check 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.
- check You have strong communication skills and the ability to work well cross-functionally.
- check You thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them.
- check You are a first principles thinker that can work with others to come up with pragmatic solutions.
- check You have a proven record of shipping ML systems to production at scale.
- check You are passionate about coaching and leading other engineers, but can roll up your sleeves and get elbow deep in code when needed.
- check You keep up with the industry trends and continuously identify new technologies to leverage to solve technical problems
About Discord Greenhouse Board
Verified hiring organization details.
Discord is a voice, video, and text communication service used by tens of millions of people to talk and hang out with their communities and friends. Operating primarily out of the San Francisco Bay Area, Discord's engineering and product teams build real-time, low-latency communication infrastructure designed to support massive scale, gaming communities, and diverse social spaces.