The opportunity
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…
What you'll do
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 they're looking for
- 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.
