Senior Machine Learning Engineer at Okta
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

27 Nov, 25

Salary

130000.0

Posted On

27 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Automation, App, Perspectives, Authentication

Industry

Information Technology/IT

Description

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 flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core 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.

Responsibilities
  • Architect & Deploy ML Infrastructure: Design, build, and maintain robust, scalable ML infrastructure using modern tools (Airflow, MLFlow, feature stores, vector databases) while implementing automated CI/CD workflows for model training, validation, and deployment.
  • Build Scalable Data Pipelines: Design and maintain ETL/ELT pipelines to ingest, process, and transform threat data from various sources into Snowflake data warehouse, ensuring data quality, security, and compliance for real-time threat detection.
  • Collaborate & Evangelize: Work with cross-functional teams to align ML platform strategies with company objectives while acting as a data evangelist to foster data-driven culture and provide mentorship to analysts and stakeholders.
  • Optimize & Monitor Systems: Deploy and monitor ML models with data scientists and engineers, troubleshoot infrastructure issues, and optimize performance of large-scale ML systems for threat prevention and access management.
  • Drive Innovation & Security: Evaluate and adopt new ML technologies while ensuring data security, privacy, and compliance within the ML infrastructure, contributing to the comprehensive risk graph that powers ITP’s threat detection capabilities.
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