Description
Okta is hiring a Principal Machine Learning Engineer for its Agent Access Policies sub-team to build dynamic AI security mechanisms for agent access control. The role focuses on intent-based enforcement, LLM reasoning and prompt parsing, low-latency inference, embeddings and vector search, semantic verification, policy frameworks, evaluation pipelines, guardrails, and scalable ML and generative AI systems. Candidates need 10+ years of software development experience, applied machine learning expertise, modern generative AI platform experience, and familiarity with AI agent frameworks and evaluation workflows. The position offers a San Francisco Bay Area base salary of $238,000–$326,000 USD plus equity, bonus, and benefits.
