Staff Machine Learning Engineer, Generative AI (Auth0)
Confirmed live in the last 24 hours
Okta
Compensation
$160,000 - $240,000/year
Job Description
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
Get to know Okta
Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Auth0 enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth.
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.
Join our team! We’re building a world where Identity belongs to you.
The Team:
Have you ever considered what powers the intelligent features behind seamless product experiences? The AI Frameworks and Services team is at the forefront of enabling AI-driven innovation across our organization. We build the foundational frameworks and essential services that empower engineering teams to integrate cutting-edge AI capabilities into our products, transforming how our users interact with them. From crafting intuitive generative AI-powered chat experiences that provide instant product support, to developing the best developer experience around authentication for generative AI and AI agents, as well as implementing intelligent security features, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users.
The Opportunity:
As a Staff Machine Learning Engineer on the Generative AI team, you will help shape and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale—ranging from LLM-powered features to reusable platform components that other teams across Okta can build on.
You will have the opportunity to:
- Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases.
- Drive technical decision making while striving to hit the right balance between factors such as simplicity, flexibility, reliability, and performance.
- Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production.
- Lead initiatives to tune, optimize, and deploy agentic applications in production with a focus on performance, reliability, and security.
- Partner with Product, Security, and Platform Engineering teams to design AI-powered experiences that are both innovative and trustworthy.
- Collaborate cross-functionally with product managers, researchers, and engineers to deliver secure, high-quality, and scalable AI/ML systems.
What you will do:
- Design and implement components across different layers of the stack using technologies such as Python, LangGraph, DSPy, and MCP.
- Contribute to the design of scalable, observable ML and Generative AI systems that integrate retrieval, inference, and evaluation pipelines.
- Develop and iterate on structured prompting, context retrieval, and RAG workflows that improve accuracy, safety, and cost efficiency in Claude-based systems.
- Build and refine automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
- Implement schema validation, structured output enforcement, and other guardrails that keep AI outputs reliable, auditable, and compliant with enterprise standards.
- Mentor and coach engineers, contributing to the growth o
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