Staff Machine Learning Engineer - Data Lake, Anomaly Detection

Zscaler
San Jose
Workplace: HybridFull timeUSD 154,000 - 220,000 annuallyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Ownership","Problem-solving","Collaboration","Communication","Learning"]

Lead development of AI/ML features within Zscaler’s Data Lake and Anomaly Detection team. Build scalable microservices and data pipelines, integrate GenAI, and productionize ML models to enhance a cloud-native security platform used by millions of users.

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FursaFursa
Zscaler
Zscaler
3 months ago

Staff Machine Learning Engineer - Data Lake, Anomaly Detection

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Lead development of AI/ML features within Zscaler’s Data Lake and Anomaly Detection team. Build scalable microservices and data pipelines, integrate GenAI, and productionize ML models to enhance a cloud-native security platform used by millions of users.
Location: San Jose
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own agentic trouble shooting framework, framing high-impact use cases, designing workflows and playbooks, and building processes for all products
  • •Evaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization
  • •Work with the world class cloud platform and data lakes for feature exploration and generation
  • •Handle volume data with the real time pipeline for data processing and aggregation
  • •Design, implement, and operate scalable production systems, specifically focusing on microservices, data pipelines, orchestration, and caching

Pay and Benefits

Salary: USD 154,000 - 220,000 annually
Perks:Health InsuranceParental LeaveRetirement Options

Key Requirements

  • •BS in Computer Science with 8+ years of experience, or MS/PhD with 5+ years of experience solving real-world problems using AI/ML and distributed systems
  • •Proficiency in programming, data structures, algorithms, and machine learning, with exceptional problem-solving skills driven by first-principles thinking
  • •Hands-on experience with AI modeling, including feature generation, prompt engineering, evaluations and productionization
  • •Experience in the full lifecycle of ML models, including building, deployment, monitoring, and optimization
  • •Expertise in designing and operating distributed microservices using tools like Kubernetes and Docker, and writing production-grade code in Python, Go, or Java
Experience:AIMLDistributed systemsCloudData lake
Education:Bachelor's
Skills:OwnershipProblem-solvingCollaborationCommunicationLearning
Languages:English
Tech Stack:KubernetesDockerPythonGoJavaLLMsPrompt engineeringData pipelinesMicroservices

Company Brief

Zscaler
Provides cloud-native security platform delivering secure access, threat protection, and zero trust services to organizations, enabling secure internet and private application access without traditional network appliances.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 2007
WebsiteLinkedIn