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
• 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
• 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

Benefits

• Discord HQ: At Discord, we believe great work can happen anywhere, whether in person or virtually. Our flexible work model empowers our people to choose where they work best: at home, in one of our offices like our San Francisco HQ, or a mix of both.
• Grow together: Look forward to developing both professionally and personally alongside your colleagues at Discord. All of our managers go through a leadership program, and we offer enriching trainings for everyone. No matter what your interests or skills are, there’s a place on our platform for you to find and build belonging.
• Money matters: Discord strives to offer fair and competitive compensation packages, including equity. You’ll have room to grow and be rewarded based on your contributions and impact at the company. Take advantage of our retirement offerings (including 401k matching in the US) to meet your financial goals.
• Health benefits; At Discord, we health-care about you! We offer medical, dental, vision, reproductive, gender-affirming, and mental healthcare to our employees.
• Family support: Spend some quality time with the next generation with 12+ weeks parental leave, as well as fertility, adoption, and surrogacy benefits.
• R&R: Stay refreshed with four weeks of PTO, 16 paid holidays each year including a week off for the winter holidays, and flexible sick time (which includes mental health days).
• Wellness on us: Take advantage of a $375 quarterly stipend for your gym membership or other activities to keep you feeling great.
• Giving back: Whatever social cause you’re passionate about, take a day (or two) off to make an impact. While you’re at it, take advantage of $1,000/year in donation matching to charitable organizations!- We’re looking for a highly technical, hands-on, and mission-driven Engineering Manager to lead our Safety ML team
• You thrive in ambiguous environments and get excited about figuring out solutions to complex problems, and then executing on them
• You have a proven record of shipping ML systems to production at scale
• You keep up with the industry trends and continuously identify new technologies to leverage to solve technical problems
• 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 3+ years of experience as an Engineering Manager and successfully managed a team of 5+ engineers
• You have strong communication skills and the ability to work well cross-functionally
• You are passionate about coaching and leading other engineers, but can roll up your sleeves and get elbow deep in code when needed
• You are a first principles thinker that can work with others to come up with pragmatic solutions
• You have 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist