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Staff/Principal Machine Learning Engineer, Identity Management

The leading independent provider of identity for the enterprise, enabling organizations to securely connect people to technology.
$177,000 - $265,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Cybersecurity

Description For Staff/Principal Machine Learning Engineer, Identity Management

Okta is seeking a visionary Staff/Principal Machine Learning Engineer to lead AI/ML integration into their identity management solutions. As a key AI/ML architect and strategist for the Identity Management pillar, you'll play a crucial role in shaping product future, particularly for Okta Identity Governance.

The role involves spearheading the design and implementation of cutting-edge AI/ML features, leveraging technologies like LLMs and working with cloud services such as AWS SageMaker and AWS Bedrock. You'll be responsible for defining AI strategy for one of Okta's fastest-growing product areas while solving complex identity challenges.

As the primary technical advisor on AI/ML matters, you'll evaluate new technologies, establish best practices, and guide engineering teams through technical design discussions and code reviews. The position requires strong collaboration with Product Management and other engineering teams to seamlessly integrate AI/ML capabilities into the product roadmap.

Okta offers a comprehensive benefits package including health, dental, and vision insurance, RRSP with match, healthcare spending, and generous paid leave. The company culture emphasizes innovation, collaboration, and professional growth, making it an ideal environment for experienced ML engineers looking to make a significant impact in the identity management space.

The role is based in Toronto, Canada, and offers a competitive salary range of $177,000 - $265,000 USD, along with equity and bonus opportunities. Okta's position as the world's leading identity company, serving over 19,300 organizations including major enterprises like JetBlue, Nordstrom, and T-Mobile, provides an excellent platform for career growth and technical innovation.

This is an opportunity to work at the intersection of AI and identity management, helping to shape the future of secure access and authentication while working with cutting-edge technologies and talented teams.

Last updated a day ago

Responsibilities For Staff/Principal Machine Learning Engineer, Identity Management

  • Lead and architect end-to-end design, development, and deployment of AI/ML-driven features
  • Serve as primary technical advisor on AI/ML matters for Identity Management pillar
  • Engage in technical design discussions and conduct code reviews
  • Mentor engineers across the pillar
  • Collaborate with Product Management and other teams
  • Apply optimization techniques to enhance model performance

Requirements For Staff/Principal Machine Learning Engineer, Identity Management

Python
  • 5+ years of hands-on experience developing and deploying AI/ML solutions
  • Experience with prompt engineering and LLM ecosystems
  • Proven track record of designing, training, and deploying ML models
  • Strong experience with cloud AI/ML services (AWS SageMaker and AWS Bedrock preferred)
  • Proficiency in debugging and optimizing large-scale ML models
  • Demonstrated ability to collaborate with cross-functional teams

Benefits For Staff/Principal Machine Learning Engineer, Identity Management

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Amazing Benefits Package
  • Healthcare spending
  • Telemedicine
  • RRSP with match
  • Paid leave

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