Назад
8 дней назад

Staff Machine Learning Engineer, SecureAI (AI)

168 000 - 231 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Machine Learning Engineer, SecureAI (AI) (Python/LLM/RAG): Building scalable machine learning and generative AI systems for agent identity security, with an accent on real-time intent evaluation, threat inspection, and policy enforcement. Focus on integrating low-latency inference into API gateways, designing confidence-scored decision engines, and building evaluation pipelines and guardrails for safe, reliable AI agents.

Location: Toronto, Ontario, Canada; hybrid work

Annual base salary: $168,000–$231,000 CAD for candidates located in Canada

Company

Okta builds identity and access security products, including infrastructure for securing AI agents and enabling organizations to adopt AI safely.

What you will do

  • Implement intent-based enforcement to verify that agent runtime requests match their intended purpose.
  • Apply LLM reasoning, prompt parsing, embeddings, vector search, and zero-shot classification to evaluate agent behavior in real time.
  • Integrate low-latency inference and semantic evaluation engines into API gateway request paths.
  • Design confidence-scored decision engines and connect semantic verification results with policy frameworks such as Cedar.
  • Build scalable ML and generative AI systems with retrieval, inference, evaluation, and RAG pipelines.
  • Develop prompt-injection defenses, schema validation, structured outputs, and guardrails for safe and reliable AI systems.

Requirements

  • 8+ years of software development experience.
  • Strong Python programming skills; familiarity with Go or TypeScript is beneficial.
  • Hands-on experience with applied machine learning, model training and fine-tuning, and modern 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.
  • Bachelor’s or Master’s degree in Computer Science or a related field.

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.

Culture & Benefits

  • Hybrid role with an immersive, in-person onboarding experience.
  • Health, dental, and vision insurance.
  • RRSP matching, healthcare spending support, telemedicine, and paid leave including PTO and parental leave.
  • Equity and bonus opportunities where applicable.
  • Connection and collaboration across a global community spanning more than 20 offices.

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