1 день назад
Staff Machine Learning Engineer, Generative AI (Auth0)
168 000 - 231 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer, Generative AI (Auth0) (Python/LLMOps): Architecting and deploying scalable production GenAI systems for AI-powered security, developer authentication experiences, and intelligent product support with an accent on retrieval, inference, evaluation, and secure platform infrastructure. Focus on building RAG workflows, agentic applications, automated model evaluation, and reliable guardrails for Claude-based systems.
Location: Hybrid in Toronto, Ontario, Canada
Salary: CAD 168,000–231,000 annual base salary for candidates located in Canada
Company
Okta provides identity and access management infrastructure, including secure authentication products through Auth0.
What you will do
- Architect, design, and deploy scalable machine learning and Generative AI systems integrating retrieval, inference, and evaluation pipelines.
- Build structured prompting, context retrieval, and RAG workflows for Claude-based systems.
- Develop automated evaluation pipelines measuring model quality, correctness, groundedness, and safety.
- Implement schema validation, structured outputs, and guardrails for reliable, auditable, and compliant AI results.
- Design scalable infrastructure and LLMOps platform services for production GenAI use cases.
- Mentor engineers and collaborate with Product, Security, Platform Engineering, researchers, and product managers.
Requirements
- 7+ years of software development experience and strong Python programming skills.
- Applied machine learning experience, including feature engineering, model training, and fine-tuning.
- Experience with Generative AI platforms such as AWS Bedrock, OpenAI, or Anthropic.
- Deep understanding of RAG, embeddings, knowledge-base workflows, and AI agent frameworks such as LiteLLM, LangGraph, LangChain, LlamaIndex, or MCP.
- Experience with ML frameworks and tools including FastAPI, PyTorch, TensorFlow, Spark ML, and Airflow.
- Ability to work in a hybrid role based in Toronto, Ontario, Canada.
Nice to have
- Experience integrating AI systems with identity, authentication, or security products.
- Exposure to ethical AI, model risk, or compliance frameworks.
- Experience with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.
- Familiarity with Go or TypeScript.
Culture & Benefits
- Equity, bonus, and benefits are offered where applicable.
- Health, dental, vision, telemedicine, and healthcare spending benefits.
- RRSP matching and paid leave, including PTO and parental leave.
- In-person onboarding is designed to support connection and accelerate impact.
- Access to well-being, social impact, talent development, and community programs.
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