Okta Logo

Okta

Staff/Principal Machine Learning Engineer, Identity Management

Posted 6 Days Ago
Be an Early Applicant
In-Office
Toronto, ON
Senior level
In-Office
Toronto, ON
Senior level
Lead the architecture, development, and deployment of AI/ML features for identity management, collaborating with cross-functional teams to achieve business outcomes.
The summary above was generated by AI

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 Customer Identity Clouds 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.

Staff/Principal Machine Learning Engineer, Identity Management

Location: Toronto, Canada

Job Description:

Okta seeks a visionary Staff/Principal Machine Learning Engineer to spearhead AI/ML integration into our identity management solutions. As the key AI/ML architect and strategist for our Identity Management pillar, you'll shape our product future (notably Okta Identity Governance), identify opportunities, design innovative solutions using cutting-edge techniques like LLMs, and guide engineering teams. You will solve complex identity challenges, deliver significant customer value, and define the AI strategy for one of Okta's fastest-growing product areas.

What You'll Do (Responsibilities):

  • Lead and Architect: Drive the end-to-end design, development, and deployment of AI/ML-driven features within the Identity Management platform, ensuring measurable business outcomes and alignment with product strategy. 
  • Strategic Guidance: Serve as the primary technical advisor on AI/ML matters for the Identity Management pillar, evaluating new technologies (including LLMs, vector databases, ML frameworks) and defining best practices.
  • Technical Leadership & Mentorship: Engage in deep technical design discussions, conduct code reviews, and mentor engineers across the pillar, uplifting the team's capabilities in applying AI/ML to identity problems.
  • Cross-functional Collaboration: Work closely with Product Management, architects, and other engineering teams to integrate AI/ML capabilities seamlessly into the product roadmap and user experience.
  • Optimization & Refinement: Apply optimization techniques to enhance model performance and accuracy; utilize enterprise data to iteratively refine AI models specific to identity use cases.

What You'll Bring (Qualifications):

  • 5+ years of hands-on experience developing and deploying impactful AI/ML solutions (including deep learning) using frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Experience with prompt engineering and leveraging LLM ecosystems (e.g., Hugging Face, LangChain, vector databases).
  • Proven track record of designing, training, validating, deploying, and monitoring ML models that achieve measurable business outcomes.
  • Strong practical experience with cloud AI/ML services (AWS SageMaker and AWS Bedrock preferred).
  • Proficiency in debugging, performance tuning, and optimizing large-scale data processing and ML models.
  • Demonstrated ability to collaborate effectively with product owners, tech leads, and cross-functional teams; experience mentoring engineers, building trust with senior leaders, and acting as a strategic advisor.

Nice to Haves

  • Experience in Java and/or Java EE web applications
  • Experience or strong understanding of cloud security, identity management (IAM), and/or authentication protocols is highly advantageous.
  • Experience with MLOps practices, including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines tailored for AI/ML workflows.

#LI-TM




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:
$177,000$265,000 USD

What you can look forward to as a Full-Time Okta employee!

  • Amazing Benefits
  • Making Social Impact
  • Developing Talent and Fostering Connection + Community at Okta

Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
Some roles may require travel to one of our office locations for in-person onboarding.

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.

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

Top Skills

AI
Aws Bedrock
Aws Sagemaker
Docker
Kubernetes
Ml
PyTorch
Scikit-Learn
TensorFlow

Similar Jobs

3 Hours Ago
Remote
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain high-quality code, collaborate with product owners, mentor colleagues, and integrate AI into software solutions.
Top Skills: Ai Productivity ToolsAngularJavaReactVue
7 Hours Ago
Hybrid
Markham, ON, CAN
Junior
Junior
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop AI-based software by modeling, building, and testing complex systems while collaborating with specialists in data science and simulation frameworks.
Top Skills: C/C++DockerFastapiJavaScriptKubernetesPythonPyTorchTensorFlow
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead safety initiatives for embedded software in Infotainment and Connectivity systems, ensuring compliance with safety standards and requirements.
Top Skills: CC++Linux

What you need to know about the Ottawa Tech Scene

The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account