Senior Staff Machine Learning Engineer

🔥 1 minute ago

🏄 California – Remote

🏄 California – Remote

💵 $157.5k - $225k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 for high-fidelity risk identification in customer data • Translate risk identification methods into agent logic • Ensure quality across 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 on data pipelines, enrichments, and aggregations with data engineering teams • Apply backtesting, precision/recall balancing, tuning, and quality control to threat detection • Deploy and monitor solutions in production within the CI/CD framework • Report to the Manager AI Platform and Data Science in the AI Platform and Data Science department

🎯 Requirements

• Experience building LLM-powered agents in production, including tool and function calling, prompt and context engineering, multi-step orchestration frameworks (LangGraph, LangChain, or equivalent), and evaluation of non-deterministic output against ground truth • 8+ 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, incident debugging in live distributed systems, and cloud/infrastructure-as-code in AWS • Sr. Staff level ownership and leadership of emergent requirements, architecture, and complex engineering projects • Preferred: production AI or ML systems experience balancing cost, latency, and accuracy, including model selection, routing, and regression testing • Preferred: cyber threat research, threat modeling, threat hunting, detection engineering, data-driven risk analysis, fraud detection, adversary profiling and targeting, actuarial risk, or collaboration with risk analysis teams • Preferred: data engineering experience with large-volume event-data pipelines, SQL, OpenSearch/Elasticsearch, Athena/Presto, 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 the recruiting process