Sr. Staff Machine Learning Engineer - Data Lake, Anomaly Detection
Zscaler
San Jose, California, United States
Base: $154,000 - $220,000 usd; bonus/equity: not s...
On-site
8+ years experience in ai/ml and distributed systems
Proficiency in python, go, or java programming
Experience with kubernetes and docker microservices
The role involves owning an agentic trouble shooting framework and integrating state-of-the-art GenAI advances to deliver reliable production features
Job Summary
The role involves owning an agentic trouble shooting framework and integrating state-of-the-art GenAI advances to deliver reliable production features.
Zscaler is an AI-forward enterprise leveraging the world's largest security data lake to power its cloud-native Zero Trust Exchange platform.
The company offers comprehensive benefits including various health plans, parental leave options, retirement options, and education reimbursement.
Matching Summary
The role involves owning an agentic trouble shooting framework and integrating state-of-the-art GenAI advances to deliver reliable production features.
Salary
Base: $154,000 - $220,000 USD; Bonus/Equity: Not specified; Benefits: Comprehensive health, time off, parental leave, retirement, education reimbursement
Skills & Requirements
Must-have
8+ years experience in AI/ML and distributed systems
Proficiency in Python, Go, or Java programming
Experience with Kubernetes and Docker microservices
Full lifecycle ML model deployment and optimization
Real-time data pipeline processing and aggregation
Nice-to-have
Experience fine-tuning proprietary SLMs/LLMs at scale
Expertise in anomaly detection and event correlation
Ability to thrive in ambiguity and dynamic environments
High-trust collaboration and constructive debate culture
Optimizing latency, cost, and safety of AI models
Key Requirements
BS in Computer Science with 8+ years experience
MS or PhD with 5+ years experience in AI/ML
Hybrid work requirement: 3 days per week in San Jose