工程经理，机器学习（安全）
Engineering Manager, Machine Learning (Safety)
Discord拥有数百万日活跃用户的高度活跃社区，他们使用该平台的原因多种多样，但有一件事几乎每个人都会做：玩视频游戏。Discord在游戏的未来中扮演着独特重要的角色，我们致力于让玩家在玩游戏前后都能更轻松、更有趣地相处。
Discord的Safety ML团队构建了保护2亿多用户的机器学习系统。该团队的使命是让Discord成为一个人们可以建立真实友谊而不受伤害的地方，在这种规模下，仅靠人工审核永远无法跟上。
我们正在寻找一位技术能力强、亲力亲为且目标明确的工程经理，来领导我们的Safety ML团队。作为负责Safety ML的经理，你将负责位于攻击者和用户之间的检测系统；用于内容理解、账户完整性和平台滥用行为的实时和批量模型。
你将负责的工作
- 通过招聘、指导并培养团队成员的主人翁意识和影响力，打造一支出色的ML工程师团队。
- 通过与信任与安全、产品、政策、法律和数据科学部门的团队及合作伙伴协作，推动Safety ML的技术愿景和路线图。
- 负责生产安全模型的端到端生命周期：定义新功能，衡量性能，并监控每天执行数百万次执行决策的系统的运行状况。
- 管理流程并利用你的技术专长，持续提高标准，确保你的团队取得非凡成果。
- 与信任与安全团队合作，提升标签质量、黄金数据集以及自动化人工调查。
- 与其他工程经理合作，持续改进工程组织，并维护我们的工作理念。
你应具备的条件
- 具有5年以上机器学习工程师、数据科学家或应用科学家的经验。
- 具有3年以上工程经理经验，并成功管理过5人以上的工程师团队。
- 在至少一个领域有深入的实践经验：欺诈检测、内容分类、行为建模、基于图的建模或基于大语言模型的分类系统。
- 具有良好的沟通能力，并能很好地跨职能协作。
- 你在模糊的环境中茁壮成长，对解决复杂问题并加以执行充满热情。
查看英文原文
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.
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
The US base salary range for this full-time position is $272,000 to $340,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
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!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.