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Added 2 months ago
IS
Technical Manager
Idealogical Systems Inc
Markham, ON
- Full-time
Idealogical Group is seeking a Technical Director to lead our software development team and own technical delivery across our product portfolio. Reporting to the CTO, the Technical Director…
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Added 2 months ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Added 2 months ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Group
Toronto, ON
…culture of relentless innovation across every dimension of how software gets built and…
Added 2 months ago
SG
AI Governance Specialist
S&P Global Mobility
London, ON · CA - ON VIRTUAL
- $95,000 to $135,000 CAD / year
- Full-time
Experience with policy or standards development, regulatory tracking, and compliance evidence/documentation Experience with GRC processes, data governance, or audit methodology is a plus
Added 2 months ago
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Developer Relations Manager, Higher Education and Research - Foundational AI
NVIDIA
Toronto, ON · Canada, Toronto
- Full-time
We are seeking a mission-driven Developer Relations Manager focused on Foundational AI Research to engage leading academic labs advancing the next generation of AI models, systems, and…
Added 2 months ago
JG
Oracle AI Architect
J&M Group
Toronto, ON
- Full-time
Added 1 month ago
Senior Product Manager, Match Platform
Upwork
Toronto, ON
…spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies…
Added 2 months ago
R
Senior Product Manager, AI Solutions
RBC
Toronto, ON
- Full-time
RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the…
Added 2 months ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Experience in adhering to Software Development Life Cycle (SDLC) principles include GIT related operations.
Added 2 months ago
TR
Applied Research Intern (NLP/ML/GenAI)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax &…
Added 2 months ago
S
Backend Engineer – Data Ingestion & APIs, Kitchener, ON
Siemens
Kitchener, ON
- Full-time
Bachelor’s or Master’s degree, or equivalent experience, in Computer Science, Software Engineering, or a related field.
Added 2 months ago
S
Senior AI/ML & Robotics Platform Engineer
Siemens
Kitchener, ON
- Full-time
…learning, robotics, data engineering, evaluation, and industrial…
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 1 month ago
C
Senior Java Developer – Vice President
Citi
Mississauga, ON
- Full-time
Fundamental understanding of Large Language Models (LLMs) and their application in software development is a plus.
Added 2 months ago
BC
AI/ML Ops Engineer
Blackpoint Cyber
Remote, Canada
- $131,000 to $164,250 CAD / year
- Full-time
- Remote
Model Development, Evaluation, & Deployment Operations (SageMaker, Bedrock)
Added 3 months ago
EA
Développeur.euse de logiciels / Software Developer - BATTLEFIELD QV
Electronic Arts (EA)
Montreal, QC
- Full-time
As a Software Developer within the Quality Verification Engineering (QVE) Team, you will report to the Engineering Manager. As a member of the worldwide Quality Verification (QV)…
Added 2 months ago
Senior Manager AI Solutions Architecture
Diligent Corporation
Vancouver, BC
Track record of building, leading, and developing technical teams, including hiring, performance management, capability planning, and career development.
Added 3 months ago
HC
Senior Researcher - AI Data Platforms
Huawei Canada
Markham, ON
- Full-time
Develop system software integrating AI storage, data preparation, and orchestration frameworks (Ray, Kubernetes, Slurm), eliminating bottlenecks from curation to serving.
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
10-15+ years in software engineering with 5+ years leading AI/ML engineering teams.
Added 1 month ago
OT
Lead Site Reliability Administrator
Open Text Corporation
Mississauga, ON
- Other
…performance of our cloud infrastructure. You will work closely with development and operations teams to design, implement, and maintain systems that are resilient and…
Added 3 months ago
U
Senior Full Stack Engineer
UST
Toronto, ON
- Full-time
…of modern web engineering, cloud platforms, and AI‑assisted development, while influencing technical direction, team culture, and delivery…
Added 3 months ago
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AI Inference Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 USD / year
- Full-time
…companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing…
Added 2 months ago
S
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
- $135,000 to $175,000 CAD / year
- Full-time
…primitives that enable Socure to transition from traditional software workflows to agent-native operations. As a Software Engineer II on the team, you will help design, build, and harden a…
Added 2 months ago
Director of AI
PureFacts Financial Solutions
Toronto, ON
You will lead the design, development, and deployment of AI and machine learning solutions across the PureFacts platform, owning the ML/AI roadmap for AI-powered intelligence across the…

Okta

Staff Machine Learning Engineer, Generative AI (Auth0)

Toronto, ON, Canada

$168,000 - $231,000 CAD

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Job details

Pay: $168,000 - $231,000 CAD
Experience: 7+ years of software development experience, with strong programming expertise in Python (and familiarity with Go or Typescript a plus).
Posting language: English
Posted: Sep 8, 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.

The Team:

Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users.

The Opportunity:

As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across Okta can build on.

You will have the opportunity to:

Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production.
Drive technical decision making while striving to hit the right balance between factors such as simplicity, flexibility, reliability, and performance.
Lead initiatives to tune, optimize, and deploy agentic applications in production with a focus on performance, reliability, and security.
Partner with Product, Security, and Platform Engineering teams to design AI-powered experiences that are both innovative and trustworthy.
Design and implement scalable infrastructure and platform services for large-scale Generative AI use cases.
Collaborate cross-functionally with product managers, researchers, and engineers to deliver secure, high-quality, and scalable AI/ML systems.

What you will do:

Spearhead the design of scalable, observable ML and Generative AI systems that integrate retrieval, inference, and evaluation pipelines.
Develop and iterate on structured prompting, context retrieval, and RAG workflows that improve accuracy, safety, and cost efficiency in Claude-based systems.
Build and refine automated evaluation pipelines to measure model quality, correctness, groundedness, and safety in production.
Implement schema validation, structured output enforcement, and other guardrails that keep AI outputs reliable, auditable, and compliant with enterprise standards.
Mentor and coach engineers, contributing to the growth of the team and the larger engineering community.

What you bring:

7+ 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.

Nice to haves:

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.

Please note that we encourage candidates to apply even if you do not have experience with all of the criteria or technologies listed above; these are provided to give insight into the tech stack and general responsibilities for the role.

P-2652_3522731

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 - $231,000 CAD

The Okta Experience

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, design, and deploy scalable Generative AI and machine learning systems while driving technical decision-making across the stack. You will also collaborate with cross-functional teams to build production-ready AI features, evaluation pipelines, and agentic applications.

Requirements

Candidates must have 7+ years of software development experience with strong expertise in Python and applied machine learning. Proficiency in modern GenAI platforms, RAG workflows, and AI agent frameworks is essential for this role.

Skills

Python
Machine learning
Generative AI
LLMOps
RAG
AWS Bedrock
OpenAI
Anthropic
LangChain
LlamaIndex
FastAPI
PyTorch
TensorFlow
Spark ML
Airflow
System architecture

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Staff Machine Learning Engineer
Generative AI
LLM
Python
Go
Typescript
AWS Bedrock
OpenAI
Anthropic
RAG
Embeddings
LiteLLM
LangGraph
LangChain
LlamaIndex
MCP
FastAPI
PyTorch
TensorFlow
Spark ML
Airflow
LLMOps
Identity Security
Authentication
Agentic Applications
Model Fine-tuning
Feature Engineering
Evaluation Pipelines
Infrastructure
Platform Engineering

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