Staff Machine Learning Engineer, Generative AI (Auth0)
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Key skills for this role
Key Skills for This Role
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What you will do:
- Spearhead 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 of the team and the larger engineering community.
What you bring:
- 7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
- Hands-on experience with applied machine learning, from feature engineering to training and fine-tuning models.
- Hands-on experience with modern Generative AI platforms (AWS Bedrock, OpenAI, Anthropic, etc.).
- Deep understanding of retrieval-augmented generation (RAG), embeddings, and knowledge-base workflows.
- Hands-on experience with LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or other related AI agent frameworks.
- Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.).
- Experience defining evaluation metrics, pipelines, and feedback loops for ML/GenAI systems.
- Proven ability to collaborate with product and engineering teams to drive greenfield initiatives forward, navigate unknowns, and iterate quickly and frequently.
- Experience building tools or infrastructure for AI/ML applications, with a deep understanding of the developer lifecycle in an AI-native world.
- Nice to haves:
- Experience integrating AI-driven systems with identity, authentication, or security products.
- Exposure to ethical AI, model risk, or compliance frameworks.
- Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.
- Please note that we encourage candidates to apply even if you do not have experience with all of the criteria or technologies listed above; these are provided to give insight into the tech stack and general responsibilities for the role.
- #LI-HYBRID #LI-SH1 P-2652_3522731
- Below is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.
- The Okta Experience
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
- We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
About Okta
Identity and access management platform providing secure authentication, single sign-on, and zero-trust security for enterprises and developers.
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