Principal Machine Learning Engineer, Alt Defense

Roblox

San Mateo, CA, United States
Base: $295,250—$345,040 usd; bonus/equity: eligibl...
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Graph neural networks (gnns)
Large-scale gnns
Unsupervised/semi-supervised clustering
** Roblox is seeking a Principal Machine Learning Engineer to lead the Alt Defense team, focused on developing advanced systems for detecting and preventing alternate accounts and other safety concerns on their platform. The ideal candidate will have extensive experience in applied machine learning, particularly in adversarial settings, and will be instrumental in architecting scalable solutions to enhance user safety. **

Job Summary

  • Lead the technical vision for alternate account detection platform, moving from reactive measures to proactive, near real-time prevention.
  • Architect high-scale ML systems using Graph Neural Networks (GNNs) and advanced clustering techniques to map relationships across billions of entities.
  • Mentor and up-level a pod of high-performing ML and software engineers, fostering a culture of technical excellence and rapid iteration.

Matching Summary

Match Score: 75

** Roblox is seeking a Principal Machine Learning Engineer to lead the Alt Defense team, focused on developing advanced systems for detecting and preventing alternate accounts and other safety concerns on their platform. The ideal candidate will have extensive experience in applied machine learning, particularly in adversarial settings, and will be instrumental in architecting scalable solutions to enhance user safety. **

Salary

Base: $295,250—$345,040 USD; Bonus/Equity: Eligible for equity compensation; Benefits: As described on careers.roblox.com/total-rewards

Skills & Requirements

Must-have

  • Graph Neural Networks (GNNs)
  • Large-scale GNNs
  • Unsupervised/semi-supervised clustering
  • High-throughput systems
  • Low-latency ML deployment
  • Adversarial detection techniques

Nice-to-have

  • Proactive prevention
  • Near real-time detection
  • Sophisticated actor countermeasures
  • Big data analysis
  • Behavioral signals
  • High-stakes environment

Key Requirements

  • MS or PhD degree in Computer Science, Machine Learning, or related field
  • 10+ years of industry experience in Applied ML
  • Significant focus on anti-abuse, fraud, integrity, or identity
  • Proven track record of leading complex technical projects
  • Experience with evolving techniques to mask identity

Work Rights

Not specified

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