Senior Machine Learning Engineer, Behavioral Detection
Roblox · San Mateo, CA, United States
About this role
**Senior Machine Learning Engineer, Behavioral Detection (Roblox)** Roblox is building the tools and platform that empower its community to bring any experience to life—while working toward a safer, more civil shared environment for everyone. As a **Senior Machine Learning Engineer** on the **Engine Security Behavioral Detection** team, you’ll build scalable ML systems to detect malicious behavior, automated play, and exploits using **real-time or offline analysis**. You’ll develop sophisticated models that distinguish legitimate player interactions from adversarial activity across a massive, dynamic 3D ecosystem. You’ll own the lifecycle of detection models—from identifying emerging threat patterns to deploying high-throughput inference services. --- ### You Will - Design and implement **end-to-end ML pipelines** for anomaly detection and behavior analysis. - Develop and deploy models to identify **complex adversarial bot patterns** and **game exploits**. - Build **real-time or offline inference systems** to mitigate malicious activity without disrupting user experience. - Collaborate with security teams, data scientists, and backend engineers to harden the platform against evolving threats. ### You Have - **PhD or Master’s** in Computer Science, Data Science, or related field. - **4+ years** of ML engineering experience 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 (PyTorch/TensorFlow)** and familiarity with big data frameworks (e.g., **Spark, Flink**, or similar). - Strong problem-solving skills and a passion for **platform integrity and security**. ### Job Expectations - Deliver high-impact ML solutions that directly improve platform security and trust. - Own **model monitoring** and **retuning** strategies to counter adaptive adversary tactics. - Provide technical guidance on best practices for **feature engineering** in adversarial domains. - Maintain operational excellence to ensure reliability and scalability of detection services. --- ### Pay & Location Notes - **Annual base salary range (HQ in San Mateo, CA): $295,250 – $345,040 USD** (actual base pay depends on factors such as background, experience, location, and market demand). - Full-time employees are also eligible for **equity compensation** and **benefits**. - Office roles are **onsite Tuesday, Wednesday, and Thursday**, with optional presence on Monday and Friday. Equal Employment Opportunity and accommodation information applies. For US-based roles only: the company may not be able to employ candidates for certain US work authorization categories and may not support future **H-1B sponsorship** at this time.
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