Lead an ML engineering team fighting rare, high-stakes harms like predatory behavior and child endangerment on Roblox

Roblox is hiring an Engineering Manager for its Critical Harms team within Safety, leading engineers (junior to principal) building high-scale detection systems for rare-event, sparse-data threats such as predatory behavior, extremism, and fraud. Expect questions on leading in an adversarial domain, developing engineers, and partnering with Moderation Operations and Data stakeholders.

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What this interview tests

Leading engineering teams in an adversarial, high-stakes safety domain
Rare-event, sparse-data ML detection systems
Developing engineers across junior-to-principal range
Cross-functional partnership with Moderation Ops, PM, Data
Owning team roadmap and technical delivery at scale
Measuring impact when target events are rare by nature

Common question themes

Describe a high-scale system you built to detect a rare, adversarial harm

Tell me about developing both a junior and a principal engineer on your team

How do you measure success when the harmful events you're preventing are sparse

Walk through resolving a conflict with Moderation Operations or Data stakeholders on priorities

How would you contribute to an architecture discussion on a high-scale ML detection system

Tell me about balancing precision vs. recall tradeoffs for content affecting child safety

How candidates describe it

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