Zscaler is seeking a Principal Machine Learning Engineer to enhance engineering workflows, testing automation, and cybersecurity intelligence through AI/ML models and pipelines.
Requirements
- Strong proficiency in Python, SQL, ML libraries/frameworks, and container/orchestration technologies (like Docker and Kubernetes)
- Hands-on experience with cloud-based AI/ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML)
- Proven track record of designing, building, and shipping large-scale AI-driven applications (preferred)
- Strong experience with LLM architectures, agent frameworks, prompt engineering, and SOTA AI technologies (preferred)
- Background in cybersecurity SaaS products or contributions to open-source AI/ML projects (preferred)
Responsibilities
- Designing and optimizing AI/ML models and pipelines
- Leading development of scalable AI/ML solutions
- Architecting AI platforms and infrastructures
- Building AI/ML model orchestration pipelines using Kubernetes and MLOps frameworks
- Collaborating cross-functionally to align AI initiatives with business objectives
Other
- Bachelor's degree in Computer Science, Mathematics, or related discipline (Master's/PhD preferred)
- 10+ years industry/academic experience in machine learning, statistical modeling, or applied AI
- Experience with translating complex technical concepts to stakeholders
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks
