2 days ago
San Mateo, CA, USASenior
Base Salary
$295k - $345k/yr
Responsibilities
- Design and implement end-to-end ML pipelines for anomaly detection and behavior analysis.
- Develop and deploy models that detect adversarial bot patterns, game exploits, and other malicious activity.
- Build real-time or offline inference systems that mitigate threats while preserving user experience.
- Collaborate with security teams, data scientists, and backend engineers to harden the platform.
- Own model monitoring and retuning strategies against adaptive adversary tactics.
- Provide technical guidance on feature engineering for adversarial domains.
- Maintain the reliability and scalability of detection services.
Requirements
- PhD or Master’s degree in Computer Science, Data Science, or a related field.
- At least 4 years of ML engineering experience, specifically in behavior modeling, anomaly detection, or fraud detection.
- Proficiency with time-series analysis, neural networks, or large-scale classification systems.
- Experience training and deploying models on high-throughput, low-latency production systems.
- Proficiency in Python and PyTorch or TensorFlow.
- Familiarity with big-data processing frameworks such as Spark or Flink.
- Strong problem-solving skills and an interest in platform integrity and security.
Benefits
- Full-time employees are eligible for equity compensation and benefits.
- Office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence Monday and Friday.
- The role is based at Roblox headquarters in San Mateo, California, when applicable.
Tech Stack
Categories
About Roblox
Roblox builds a platform for user‑generated 3D experiences, offering Roblox Studio for creators and a social marketplace where players explore and interact across devices. Its business model centers on virtual currency (Robux) and subscriptions, platform fees paid to creators, and an expanding advertising offering. Founded in 2004 and headquartered in San Mateo, California, Roblox Corporation is publicly traded on the NYSE under the ticker RBLX.