Senior Machine Learning Engineer

🕒 September 30

🏄 California – Remote

🏄 California – Remote

💵 $115.5k - $165k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• 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

• 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

• 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