Staff Machine Learning Engineer - Data Lake, Anomaly Detection
Zscaler · San Jose, California, USA
Posted about 2 months ago
or apply directly on Zscaler's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 53 days Zscaler's roles stay open a median of 49 days
- Reposted
- No
- Salary listed
- No 0% of Zscaler's roles list one
- Ghost-job risk at Zscaler
- high 205 stale, 19 reposted of 370 open
- Hiring momentum
- 564 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-26
Measured from postings appearing on and disappearing from Zscaler's own greenhouse board since 2026-08-03. Full hiring picture for Zscaler.
About this role
The Staff Machine Learning Engineer will work within the Zscaler Digital Experience department, focusing on building and enhancing the cloud security platform. Responsibilities include developing troubleshooting frameworks, integrating AI advancements, managing data processing pipelines, and designing scalable production systems. The role emphasizes collaboration, problem-solving, and a proactive approach to challenges in a dynamic environment.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Zscaler as an employer.
What you need
- Foundational understanding of AI/ML technologies
- BS in Computer Science with 6+ years of experience, or MS/PhD with 5+ years of experience in AI/ML and distributed systems
- Proficiency in programming, data structures, algorithms, and machine learning
- Hands-on experience with AI modeling and productionization
- Experience in the full lifecycle of ML models and designing distributed microservices using Kubernetes and Docker in Python, Go, or Java
Nice to have
- Proven ability to leverage AI technologies for operational efficiency
- Experience designing and scaling autonomous AI agents
- Experience fine-tuning and deploying proprietary SLMs/LLMs at scale
- Experience delivering production-ready AI systems including expertise in anomaly detection
What you get
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Worth weighing
- Hybrid role may require flexibility in work environment
- No specific mention of the tech stack beyond Kubernetes and Docker
- Salary range provided but does not include commission/bonus/equity
- Emphasis on a strong ownership mindset may indicate a high-pressure environment
Summarised from Zscaler's posting. Read the full original.
Listed by Zscaler on their greenhouse job board, last confirmed open on 2026-09-26. PitchMeAI is not the employer.
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