Senior Machine Learning Engineer, Behavioral Detection

Required

• PhD or Master’s in Computer Science, Data Science, or related field.
• 4+ years of experience in ML engineering, 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 (PyTorch/TensorFlow) and familiarity with big data processing 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.
• Take ownership of 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, ensuring reliability and scalability of detection services.
• For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.