Senior Machine Learning Engineer

Zscaler

. Develop solutions applying data analysis and threat research, AI, machine learning, and data engineering to automate security analysis .

Posted 9/30/2026full-timeRemote • California • United StatesSenior💰 $115,500 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying AI and machine learning solutions for security analysis, with a strong focus on data engineering, risk analysis, and production reliability. Proficient in Python, SQL, and CI/CD practices, with a background in threat research and data-driven methodologies.

Highest-signal resume keywords

Python DevelopmentData EngineeringCI/CD FrameworksThreat ResearchMachine Learning Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData AnalysisMachine LearningData EngineeringThreat DetectionRisk AnalysisUnit TestingIntegration TestingData Quality Validation

Soft Skills

CollaborationLeadershipProblem Solving

Tools & Technologies

CI/CDAWSLangGraphLangChainPandasPolarsNumPyOpenSearchElasticsearchAthena

Industry Keywords

Cyber Threat ResearchThreat ModelingDetection EngineeringFraud DetectionAdversary ProfilingData-Driven Risk Analysis

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsElasticSearchNumpyPandasPythonSQL

About the role

Key responsibilities & impact

Develop solutions applying data analysis and threat research, AI, machine learning, and data engineering to automate security analysis
Translate risk identification methods into agent logic for risk analysis, explanations, and recommendations
Collaborate with threat-research teams to understand data, threats, and security heuristics
Identify and solve data requirements for analysis
Develop and collaborate with data engineering teams on pipelines, enrichments, and aggregations
Apply data-driven quality methods to threat detection, including backtesting, precision/recall balancing, tuning, and quality control
Deploy and monitor solutions in production using the CI/CD framework

Requirements

What you’ll need

Experience building LLM-powered agents in production, including tool and function calling, prompt and context engineering, multi-step orchestration frameworks such as LangGraph or LangChain, and evaluation of non-deterministic output against ground truth
3+ years of professional Python development
Ability to design and maintain production-quality systems with validated inputs, data contracts, comprehensive unit tests, and integration tests
Hands-on expertise with SQL and Python data analytics libraries such as pandas, Polars, and NumPy
Production reliability experience with CI/CD, containerization, structured logging and metrics, observability and alerting, on-call participation, and incident debugging in live distributed systems
Familiarity with cloud and infrastructure-as-code in an AWS environment
Senior-level ownership and leadership of projects, development, and testing
Preferred: experience with production AI or ML systems involving cost, latency, accuracy, model selection, routing, and regression testing
Preferred: background in cyber threat research, threat modeling, threat hunting, detection engineering, data-driven risk analysis, fraud detection, adversary profiling and targeting, actuarial risk, or related collaboration
Preferred: data engineering experience with large-volume event-data pipelines, SQL, OpenSearch/Elasticsearch, Athena/Presto or similar, schema evolution, backfills, and data quality validation

Benefits

Comp & perks

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks
Inclusive benefits for employees and their families
Reasonable support/accommodations in recruiting processes