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Added 1 month ago
S
GIS Manager
SYSTRA
Toronto, ON
- Full-time
Provide strategic leadership for the GIS function, aligning GIS capabilities with Metrolinx business, operational, infrastructure, and asset-management objectives.
Added 1 month ago
IF
Data Analyst
iA Financial Group (Industrial Alliance)
Quebec, QC
- Full-time
…our business intelligence capabilities. You will collaborate with data analysts, managers, pricing and claims specialists, and other business partners to transform data into performance…
Added 1 month ago
CO
DevOps Engineer
Caspian One
Toronto, ON
- $80 to $110 CAD / hour
- Contract
(The team are working exclusively with Caspian One to build out this team)
Added 1 month ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
Is customer-focused, with an eye for building delightful product experiences and developer experiences.
Added 1 month ago
Machine Learning Engineer
ALS
Montreal, QC · CAN - QC - Montreal (Rue Saint-Nicolas)
Excellente maîtrise de Python pour le traitement des données (pandas, NumPy), l’analyse statistique, la visualisation (matplotlib, seaborn) et l’apprentissage automatique (p. ex., PyTorch).
Added 1 month ago
SE
Senior Software Engineer
Soma Energy
Remote, Canada
- Full-time
- Remote
You're a strong backend engineer with 7+ years of software experience, and you're extremely proficient in one or more languages such as Python, Go, Rust, or C++.
Added 1 month ago
EC
Ingénieur(e) principal(e) en réseaux de puissance / Lead Power System Engineer
Eaton Corporation
Brossard, QC
- Full-time
Connaissance du langage de programmation : Python, y compris la familiarité avec l'analyse et la manipulation de données à l'aide de bibliothèques Python telles que Pandas, NumPy et…
Added 1 month ago
SC
Associate Director, Insights & Analytics
Starcom Canada
Toronto, ON
- Full-time
With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at…
Added 1 month ago
KD
Stagiaire LEAP hiver 2027 – Excellence opérationnelle VHCS | Winter 2027 LEAP Intern – VHCS Operational Excellence
Keurig Dr Pepper Canada
Montreal, QC
- Full-time
Compétences de base en analyse de données requises; la connaissance de SQL, Python, des systèmes ERP/WMS, de Power BI, Tableau ou Looker est considérée comme un atout.
Added 1 month ago
T
Spécialiste principal en ingénierie des essais/Senior Test Engineering Specialist
Telesat
Gatineau, QC
- Full-time
Maîtrise de MATLAB, Python ou d’un outil similaire
Added 1 month ago
V
Full-Stack Software Engineer
Viggle
Toronto, ON
- Full-time
…worlds, Viggle has reached over 40 million users worldwide with a small but mighty…
Added 1 month ago
Q
Audio/Edge AI Silicon Validation and Firmware Engineer
Qualcomm
Markham, ON
- Full-time
Interact with multiple engineering teams (Digital and mixed signal design and verification, HW architecture, SW/FW), across different geographies to debug, isolate and resolve SW and…
Added 1 month ago
A(
Machine Learning Scientist
Amii (Alberta Machine Intelligence Institute)
Edmonton, AB
- Full-time
“Are you passionate about innovating with AI at the intersection of industry and academia? Are you interested in contributing to ML projects that redefine what’s possible? If so, we want to…
Added 1 month ago
I
Sr. Machine Learning Engineer
Insight
Remote, Canada
- Full-time
- Remote
Production Python. Type-annotated, tested, packaged. Comfortable with pandas, NumPy, scikit-learn, and the GEAP SDK. Familiar with KFP DSL for pipeline authoring.
Added 1 month ago
M
Search Engineer
Mendable
Toronto, ON
- $235,000 to $260,000 USD / year
- Full-time
…at web scale, and the modern web actively resists automation with detection systems, challenge flows, and fingerprinting that evolve weekly. This role is equal parts research and…
Added 1 month ago
RB
2027 Investor Services, PEY Securities Lending Desk (12-16 months)
Royal Bank of Canada
Toronto, ON
- Full-time
…supporting the Desk who is responsible for market execution with borrowers, maximizing profitability within existing products, and identifying revenue opportunities for our lending clients,…
Added 1 month ago
Lead Software Engineer II (Node JS)
Momentum Financial Services Group
Toronto, ON
…by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart - Canada’s largest non-bank branch network - and a leader…
Added 1 month ago
SE
Senior, Systems Development
Schneider Electric
Richmond, BC
- $114,750 to $162,000 CAD / year
- Full-time
Familiarity with communication protocols such as CAN, Modbus, or Ethernet, and with programming or scripting languages such as Python or C.
Added 1 month ago
G
Data Specialist
Gastops
Longueuil, QC
- Full-time
Make direct contact with external customers to provide proactive recommendations and/or feed the recommendations to the appropriate internal contact for communication with the customer (ex:…
Added 1 month ago
Data Specialist - Oil Analysis
Gastops Limited
Longueuil, QC
Make direct contact with external customers to provide proactive recommendations and/or feed the recommendations to the appropriate internal contact for communication with the customer (ex:…
Added 1 month ago
C
Senior Fullstack Engineer, Agentic Experience
CreatorIQ
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
Backend & API Expertise: You are proficient in Node.js and Python, with a strong background in building reliable APIs and integrating data connectors.
Added 1 month ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 1 month ago
C
Pluggable Optical Modems Test Engineer
Ciena
Ottawa, ON
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 1 month ago
PG
Associate Director, Insights & Analytics
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at…

Okta

Staff Machine Learning Engineer, SecureAI

Toronto, ON, Canada

$168,000 to $231,000 CAD / year · Full-time

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Job details

Pay: $168,000 to $231,000 CAD / year
Job type: Full-time
Experience: 8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Posting language: English
Posted: Sep 16, 2026

Original job description

Secure Every Identity, from AI to Human

Identity 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.

About Okta Secures AI Team

The Okta for AI Agents Team is building the future of digital identity management. The way companies are using agents and allowing them access is undergoing a fundamental shift, enabling teams to move fast while staying secure.

Our North Star is clear: To get AI right, you have to get identity right. We are not just managing identities; we are building the industry's first Identity Security Fabric for the agentic era. As organizations rapidly deploy AI, these non-human entities are acting with access to critical tools, often bypassing traditional perimeters and creating a 'Shadow AI' crisis. Our mission is to move identity from a reactive gatekeeper to a unified control plane, transforming AI risk into business ROI.

We are tackling this by implementing a comprehensive four-pillar maturity model: Discover, Onboard, Protect, and Govern. We are driving innovation by defining the standards for Agentic Identity - including pioneer work with securing AI Agents and support for protocols like MCP. You will be helping us build the infrastructure that allows enterprises to scale AI safely, ensuring every access decision - whether made by a human or an automated agent - is authenticated, authorized, and audited at scale.

We are a diverse team of engineers, product managers, and designers who are bringing Okta’s expertise in identity to define the future of Agent Identity management, focusing on enablement while staying secure.

About the role

In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing static, rule-based systems with dynamic AI security mechanisms, you will deliver real-time threat inspection, agent intent evaluation, and behavioral analysis - ensuring autonomous AI agents operate safely within specified bounds.

Your core mission will be architecting and driving features for our unified control plane to establish the premier Identity Security Fabric for the agentic era. In doing so, you will help execute our guiding principle: "To get AI right, you have to get identity right."

What you’ll be doing

Implement intent-based enforcement to verify agent runtime requests match their intended purpose, requiring key capabilities.
Apply LLM reasoning and prompt parsing to interpret prompts, tool payloads, and intent in real time.
Integrate low-latency inference or semantic evaluation engines directly into the API gateway request path.
Use embeddings, vector search, or zero-shot classification to score alignment between agent intent and executed actions.
Design confidence-scored decision engines that feed semantic verification results into policy frameworks (e.g., Cedar).
Establish evaluation benchmarks, prompt injection defenses, and guardrails to prevent bypasses or false positives.
Architect scalable ML and Generative AI systems integrating retrieval, inference, and evaluation pipelines.
Optimize prompting, context retrieval, and RAG workflows for accuracy, safety, and efficiency in Claude-based systems.
Build automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
Implement schema validation, structured output enforcement, and guardrails to ensure reliable, compliant AI outputs.

What you’ll bring to the role

8+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Hands-on experience with applied machine learning, from feature engineering to training and fine-tuning models.
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.
Hands-on experience with LiteLLM, LangGraph, LangChain, LlamaIndex, MCP, or other related AI agent frameworks.
Familiarity with ML frameworks (FastAPI, PyTorch, TensorFlow, Spark ML) and workflow orchestration tools (Airflow, etc.).
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.
Education:Bachelor’s or Master's degree in Computer Science or related field

Extra credit

Experience integrating AI-driven systems with identity, authentication, or security products.
Exposure to ethical AI, model risk, or compliance frameworks.
Familiarity with evaluation datasets, synthetic data generation, or LLM-as-a-judge methods.

(P25833_3552618)

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:: $168,000 CAD - $231,000 CAD

The Okta Experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

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.

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More about this job

Responsibilities

You will architect and drive features for a unified control plane to establish an Identity Security Fabric for AI agents. This involves implementing intent-based enforcement, real-time threat inspection, and behavioral analysis using advanced ML and GenAI systems.

Requirements

The role requires 8+ years of software development experience with strong proficiency in Python and applied machine learning. Candidates must have hands-on experience with Generative AI platforms, RAG workflows, and AI agent frameworks.

Skills

Python
Machine learning
Generative AI
LLM
RAG
Embeddings
LangChain
LangGraph
FastAPI
PyTorch
TensorFlow
Identity security
Prompt engineering
Vector search
Cloud infrastructure

Benefits

Equity
Bonus
Health insurance
Dental insurance
Vision insurance
RRSP with a match
Healthcare spending
Telemedicine
Paid leave
PTO
Parental leave

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Generative AI
Identity Security
Python
LLM
RAG
Embeddings
LangGraph
LangChain
FastAPI
PyTorch
TensorFlow
AWS Bedrock
Anthropic
OpenAI
Cedar
MCP
Agentic Identity
Threat Inspection
Behavioral Analysis
Infrastructure
Software Development
Data Science
Security
Automation

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