Staff Machine Learning Engineer, Generative AI (Auth0)
At a glance
Senior Machine Learning Engineering role at Okta. Toronto · CA$168,000–CA$231,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Shape scalable ML and generative AI systems that connect retrieval, model inference and evaluation
- Improve Claude-based workflows through structured prompts and context retrieval, balancing accuracy, safety and cost
- Build production checks for model quality, correctness, groundedness and safety
- Add schema checks and output controls so AI results remain reliable, auditable and compliant
- Coach engineers and help strengthen the wider engineering community
What you bring
- At least seven years in software development, with strong Python skills
- Practical experience applying machine learning, including feature work, model training and fine-tuning
- Experience using generative AI platforms and working with RAG, embeddings and knowledge-base workflows
- Hands-on use of an AI agent framework, plus experience setting evaluation measures and feedback loops
Who this fits
This staff-level role suits an experienced engineer who can advance new AI initiatives, work across product and engineering, and mentor colleagues. The stated annual base salary range for candidates in Canada is CAD 168,000 to 231,000.
From the employer
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.
The Team:
Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, 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, architect, 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 components that other teams across Okta can build on.
You will have the opportunity to:
- Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production.
- Drive technical decision making while striving to hit the right balance between factors such as simplicity, flexibility, reliability, and performance.
- 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.
- Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases.
- Collaborate cross-functionally with product managers, researchers, and engineers to deliver secure, high-quality, and scalable AI/ML systems.
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.
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 annual base salary range for this position for candidates located in Canada is between:$168,000—$231,000 CADThe 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.