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okta
Страна
Канада
Зарплата
160 000 CA$ – 240 000 CA$
+500% приглашений

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Staff Machine Learning Engineer, Generative AI (Auth0)

Оценка ИИ

Высокая оценка обусловлена сильным брендом компании (Okta/Auth0), работой с передовым стеком технологий (GenAI, Agents) и конкурентной заработной платой с отличным пакетом льгот. Роль предлагает значительное влияние на стратегию компании.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль уровня Staff требует не только глубоких технических знаний в области GenAI и LLMOps, но и способности руководить архитектурными решениями и менторить команду. Высокая сложность обусловлена необходимостью интеграции ИИ в критически важную инфраструктуру безопасности.

Анализ зарплаты

Медиана200 000 CA$
Рынок170 000 CA$ – 250 000 CA$
Оценка ИИ

Предлагаемый диапазон 160k–240k CAD полностью соответствует рыночным стандартам для позиций уровня Staff в Торонто. Верхняя граница диапазона является весьма привлекательной даже для высококонкурентного рынка Канады.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Machine Learning Engineer position within the Generative AI team at Okta. With extensive experience in building production-ready AI/ML systems and a deep focus on LLMOps, I am particularly drawn to Okta's mission of securing identity in the era of Generative AI. My background in architecting RAG workflows and implementing automated evaluation pipelines aligns perfectly with your team's goal of delivering reliable and scalable AI-driven innovation.

In my previous roles, I have successfully led the deployment of agentic applications and developed reusable platform components that empowered multiple engineering teams. I am proficient in Python and have hands-on experience with LangGraph, DSPy, and AWS Bedrock, which are central to your current tech stack. I am excited about the opportunity to contribute to the AI Frameworks and Services team and to help shape the Generative AI strategy at a company as influential as Okta.

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Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в okta уже сейчас

Присоединяйтесь к Okta и создавайте будущее безопасного ИИ на позиции Staff Engineer!

Описание вакансии

Secure Every Identity, from AI to HumanIdentity 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 of the team and the larger engineering community.

What you bring:

  • Strong programming expertise in Python (and familiarity with Go or Typescript a plus).
  • 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.
  • Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.).
  • Experience with LiteLLM, LangGraph, LangChain, DSPy, LlamaIndex, MCP, or other related AI agent frameworks.
  • 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 with identity and auth products.
  • Experience creating tools that integrate with AI-based coding platforms.
  • 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-REMOTE

#LI-SH1

P-2586_3172421

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:

$160,000—$240,000 CAD

The Okta Experience

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.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • Generative AI
  • LLM
  • RAG
  • LangGraph
  • DSPy
  • AWS Bedrock
  • OpenAI
  • Anthropic
  • FastAPI
  • PyTorch
  • TensorFlow
  • Airflow
  • LangChain
  • LlamaIndex
  • Go
  • TypeScript

Возможные вопросы на собеседовании

Проверка опыта работы с современными фреймворками для создания ИИ-агентов, указанными в вакансии.

Расскажите о вашем опыте использования LangGraph или DSPy для создания сложных агентных систем. С какими основными трудностями вы столкнулись при обеспечении их надежности?

Оценка навыков проектирования масштабируемых систем RAG, что является ключевым требованием.

Как бы вы спроектировали систему RAG для работы с миллиардами документов, обеспечив при этом низкую задержку и высокую релевантность ответов?

Важный аспект для корпоративного сектора и безопасности Okta.

Какие методы и метрики вы используете для оценки безопасности и отсутствия галлюцинаций (groundedness) в ответах LLM в продакшене?

Проверка понимания жизненного цикла разработки ИИ-продуктов.

Опишите ваш подход к построению LLMOps пайплайна: от экспериментов с промптами до мониторинга модели в реальном времени.

Оценка лидерских качеств и способности влиять на техническую стратегию.

Приведите пример, когда вам приходилось принимать сложное архитектурное решение в условиях неопределенности. Как вы балансировали между скоростью разработки и долгосрочной гибкостью системы?

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okta
Страна
Канада
Зарплата
160 000 CA$ – 240 000 CA$