Назад
5 дней назад

Principal Applied AI/ML Scientist (Auth0 Lab)

274 000 - 376 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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
Principal Applied AI/ML Scientist (Auth0 Lab) (AI, machine learning, identity security): Building new AI products and production-grade AI agents for identity and security, with an accent on end-to-end model development, dataset workflows, and evaluation across quality, security, latency, and cost. Focus on solving authentication and security problems, fine-tuning and aligning language models, and taking research ideas through prototypes to product recommendations.

Location: Hybrid role requiring attendance at a local office twice a week; offices in Bellevue, Washington; Chicago, Illinois; New York, New York; San Francisco, California; and Washington, DC.

Annual base salary: $274,000–$376,200 USD for candidates in California excluding the San Francisco Bay Area, Colorado, Illinois, New York, and Washington. A separate annual range of $244,000–$335,500 USD is also listed.

Company

Okta provides identity and security infrastructure, including products that help organizations safely build and operate AI agents.

What you will do

  • Model and solve authentication and security problems using AI and machine learning.
  • Lead end-to-end model development, including traditional ML training and fine-tuning and alignment of small and large language models.
  • Create and maintain evaluation and training datasets and workflows.
  • Take ideas from research through prototypes to product recommendations.
  • Evaluate outcomes across quality, security, latency, and cost.
  • Set the technical direction for AI innovation and take new product ideas from 0 to 1.

Requirements

  • 8+ years of experience in machine learning or applied research roles.
  • Experience leading multiple 0-to-1 AI or ML projects and shipping practical AI or ML systems.
  • Strong Python, machine learning frameworks, and software engineering skills.
  • Ability to learn quickly, understand computer systems, and solve complex problems.
  • Strong customer understanding, communication, collaboration, and iterative problem-solving skills.
  • Ability to work from and attend a designated U.S. office twice per week.

Nice to have

  • Experience working on security-related products.

Culture & Benefits

  • Health, dental, and vision insurance.
  • 401(k) and flexible spending account.
  • Paid leave, including PTO and parental leave.
  • Equity and bonus opportunities where applicable.
  • In-person onboarding and collaboration across a global community.

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