Find work in Canada.

551,703 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
Data Architect
Lantern
Calgary, AB · Edmonton, AB · Toronto, ON
Strong hands-on expertise across Azure Databricks, Microsoft Fabric, Power BI, and the Azure modern data platform.
Added 1 month ago
C
Software Engineer, Security
Cohere
Remote, Canada
- Full-time
- Remote
…enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role,…
Added 1 month ago
Product Engineer Intern 4 or 8 months - Winter 2027
Dayforce
Toronto, ON
Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and…
Added 1 month ago
EI
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
- Full-time
Strong hands-on experience with Microsoft Fabric. Experience building and maintaining enterprise-grade analytics engineering frameworks, including data models, reusable metrics, and…
Added 1 month ago
SS
Staff AI Engineer
Safe Software
Remote, Canada
- $147,000 to $167,000 CAD / year
- Full-time
- Remote
Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.
Added 1 month ago
SDET Contractor
PlayStation Global
Waterloo, ON
Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language.
Added 1 month ago
BC
Senior Cloud Engineer - Google Firebase
BDO Canada
Toronto, ON
- Full-time
BDO Canada's Google Cloud Advisory Practice is seeking a Senior Cloud Engineer - Google Firebase to help clients design, build, modernize, and scale cloud-native applications on Google…
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…decision-making across the enterprise. As a Senior QA Automation Engineer, you will help build and evolve quality-control frameworks for complex data movement, large-volume data validation,…
Added 1 month ago
BS
Software Engineer
Beacon Software
Toronto, ON
- Full-time
This is a high-impact, hands-on software engineering role. You will spend your time working alongside domain leaders within Beacon to identify high-leverage workflows and deploy agentic AI…
Added 1 month ago
Développeur(euse) en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
Connaissances requises : Python, Linux, Jenkins, Groovy, Git/GitLab, scripts Shell, outils d’IA appliqués au développement logiciel.
Added 1 month ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
Hands-on Azure infrastructure work: landing zones, server and workload migrations, hybrid connectivity and core Azure networking.
Added 2 months ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
- Full-time
A seasoned AI engineer (ninja-level) with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values…
Added 1 month ago
D
Lead Data/Analytics Engineer
dutch
Vancouver, BC
- Full-time
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 1 month ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
We’re looking for a Staff Software Engineer, Fullstack to join our Reverse ETL product engineering team.
Added 1 month ago
Machine Learning Engineer
ALS
Montreal, QC · CAN - QC - Montreal (Rue Saint-Nicolas)
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…
Added 1 month ago
V
Full-Stack Software Engineer
Viggle
Toronto, ON
- Full-time
Full-Stack Software Engineer new graduate - AI & 3D Creator Tools
Added 1 month ago
SE
Senior, Systems Development
Schneider Electric
Richmond, BC
- $114,750 to $162,000 CAD / year
- Full-time
As our portfolio grows and our development programs become increasingly complex, we are looking for a Senior Systems Engineer who can help bring structure, technical direction, and…
Added 1 month ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
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…
Added 1 month ago
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
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…
Added 1 month ago
M
Senior Data Engineer
Minga
Kelowna, BC
- Full-time
As a Senior Data Engineer at Minga, you’ll own the data platform that turns our product and business data into something 2,000+ schools, and every team at Minga, can trust. Reporting to the…
Added 1 month ago
S
AI Full Stack Developer
Synechron
Halifax, NS
- $120,000 to $125,000 CAD / year
- Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern…
Added 1 month ago
PI
Research Software Engineer
ProteinQure Inc
Toronto, ON
- $120,000 to $150,000 CAD / year
The Research Software Engineer is responsible for developing, maintaining, and supporting the software tools and computational workflows that enable ProteinQure’s drug discovery research.…
Added 1 month ago
P
ML Engineering Intern - Infrastructure (Spring 2027)
Peripheral
Toronto, ON
- Internship
…model training through to production deployment. You'll get hands-on experience with MLOps tooling and cloud infrastructure, working alongside the engineer who owns this system…
Added 1 month ago
P
Research Software Engineer
ProteinQure
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
The Research Software Engineer is responsible for developing, maintaining, and supporting the software tools and computational workflows that enable ProteinQure’s drug discovery research.…

Okta

Staff Machine Learning Engineer, SecureAI

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job