Specialty
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The role
The company is hiring an Engineering Manager to lead its Safety ML team, which builds the machine learning systems that detect abuse and protect over 200M users. The role is hands-on and covers real-time and batch models for content understanding, account integrity and platform abuse.
What you will do
- Hire, coach and lead a team of ML engineers
- Set the technical vision and roadmap for Safety ML with Trust & Safety, Product, Policy, Legal and Data Science
- Own the lifecycle of production safety models: new capabilities, performance measurement and operational monitoring
- Manage processes and use technical expertise to raise the team's output
- Work with Trust & Safety on label quality, golden sets and automating manual investigations
- Work with other Engineering Managers to improve the engineering organization
What they ask for
- 5+ years as a Machine Learning Engineer, Data Scientist or Applied Scientist
- 3+ years as an Engineering Manager, managing a team of 5+ engineers
- Hands-on depth in abuse or fraud detection, content classification, behavioral or graph modeling, or LLM-based classification
- Record of shipping ML systems to production at scale
- Strong cross-functional communication
- Willingness to dive into code when needed
What they offer
- Equity and benefits in addition to base salary
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