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Engineering Manager, Machine Learning (Safety)
Discord · Remote, Lagos · Remote
Salary
$34000k – $42500k
Location
Remote
Posted
5 days ago
Required skills
About the role
Discord is seeking an Engineering Manager, Machine Learning (Safety) to lead the Safety ML team. The role involves building and maintaining machine learning systems that protect over 200 million users from harmful content and behavior.
Responsibilities
- Build and lead an exceptional team of 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 Trust & Safety, Product, Policy, Legal, and Data Science teams.
- 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 technical expertise to continually raise the bar and ensure the team delivers extraordinary results.
- Partner with Trust & Safety on label quality, golden sets, and automating manual investigations.
- Work with other Engineering Managers to improve the Engineering organization and uphold workplace philosophy.
Requirements
- 5+ years of experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist.
- 3+ years of experience as an Engineering Manager and successfully managed a team of 5+ engineers.
- Hands-on depth in at least one of: abuse/fraud detection, content classification, behavioral modeling, graph-based modeling, or LLM-based classification systems.
- Strong communication skills and the ability to work well cross-functionally.
- Thrive in ambiguous environments and get excited about solving complex problems and executing on them.
- First principles thinker that can work with others to come up with pragmatic solutions.
- Proven record of shipping ML systems to production at scale.
- Passionate about coaching and leading other engineers, but can roll up sleeves and get elbow deep in code when needed.
- Keep up with industry trends and identify new technologies to solve technical problems.
Salary
- The US base salary range for this full-time position is $272,000 to $340,000 + equity + benefits.
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