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Added 15 mins ago
Capital market support engineer
Capgemini
Montreal, QC
Support Engineer experience in handling incidents.
Added 15 mins ago
Full Stack Software Engineer, Growth (Hybrid)
Homebase
Remote, Canada
$175,000 to $205,000 USD / year
Full-time · Remote
We’re looking for a Full Stack Senior Software Engineer 2 who’s passionate about building AI-powered, high-velocity systems that transform how our Growth, Sales, and Product teams operate.…
Added 15 mins ago
Senior Software Engineer II, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money - bringing clarity, confidence, and control to every dollar earned, so…
Added 29 mins ago
Automation Patching Engineer (Ansible / AAP)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
Full-time
As an Automation Patching Engineer, you will serve as the technical lead responsible for designing, prototyping, building, and scaling automated vulnerability remediation and lifecycle…
Added 29 mins ago
Capital market support engineer
Capgemini
Montreal, QC
Full-time
Support Engineer experience in handling incidents.
Added 29 mins ago
Ingénieur(e), Avionique / Avionics Engineer
Bell Flight
Mirabel, QC
Full-time
…the need for upgrades, expansion or replacement of existing platform capabilities, systems or new developments while meeting the certification standards for Canadian Government Programs –…
Added 29 mins ago
Senior DevSecOps Engineer
Quantum World Technologies Inc.
Toronto, ON
Contract
Strong experience in DevOps, Platform Engineering, SCM Administration, or Release Engineering
Added 30 mins ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
As a Senior Data Engineer, you'll own the data platform that powers decision-making across Clutch, from how we buy and price vehicles, to how customers move through our funnel, to how we…
Added 59 mins ago
Backend Engineer – Python (API & Platform Engineering)
Staffingine LLC
Toronto, ON
Contract
Client is looking for a skilled Python Backend Engineer to build and scale high-performance backend systems. This role will focus on API development, platform engineering, and system…
Added 1 hour ago
Forward Deployed Engineer, AI and Automation
Calliere
Saint-Henri, QC
Full-time
…company runs using AI and modern software, and they are hiring an engineer to lead that work from the…
Added 1 hour ago
GCP Senior Data Engineer
J&M Group
Canada
Contract
Nice to Have: GCP Professional Data Engineer certification, Vertex AI, real-time processing, dbt, and multi-cloud experience.
Added 1 hour ago
Enterprise Security Architect
Epsilon Solutions Ltd.
Toronto, ON
Contract
Desirable certifications: CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials (e.g., NIST AI RMF, MIT AI Ethics, Azure AI Engineer).
Added 1 hour ago
Application/Production Support Engineer – Salesforce
Aptino, Inc.
ON · Ontario, Canada
Contract
Hiring: Application/Production Support Engineer – Salesforce
Added 1 hour ago
Senior Software Engineer
Okta
Toronto, ON
$136,000 to $187,000 CAD / year
Full-time
As a Senior Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture…
Added 1 hour ago
AI Engineeer
TekStaff IT Solutions
Toronto, ON
Contract
This is a fantastic opportunity for an experienced Senior AI Engineer to join the Loblaw Technology team.
Added 1 hour ago
Ingénieur(e), Avionique / Avionics Engineer
Textron
Mirabel, QC
Full-time
…the need for upgrades, expansion or replacement of existing platform capabilities, systems or new developments while meeting the certification standards for Canadian Government Programs –…
Added 1 hour ago
GCP Senior Data Engineer
Axiom Global Technologies
Canada
Contract
Own the data platform: Architect and manage BigQuery, Cloud Storage and Data Fusion for ingesting, transforming and storing data
Added 1 hour ago
Senior Software Engineer (Python + DevOps)
Keasis
Montreal, QC
Contract
We are looking for a technically strong Software Engineer with deep Python expertise and practical DevOps experience to build, deploy, operate, and improve technology solutions across…
Added 1 hour ago
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
Contract
· Work with cross functional teams including QA, Platform Delivery and DevOps
Added 2 hours ago
Backend Engineer
Movable Ink
Toronto, ON
We’re looking for a Mid-Level Software Engineer to join the Behavioral team, responsible for turning raw customer signals into meaningful marketing triggers. This team builds the behavioral…
Added 2 hours ago
Principal Defence Systems Engineer
SkyWatch
Ottawa, ON
Full-time
…observation data is accessed and utilized globally. Our innovative platform empowers businesses, researchers, and governments to easily integrate satellite data into their operations,…
Added 2 hours ago
Principal Platform Engineer
SkyWatch
Remote, Canada
Full-time · Remote
…observation data is accessed and utilized globally. Our innovative platform empowers businesses, researchers, and governments to easily integrate satellite data into their operations,…
Added 2 hours ago
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money - bringing clarity, confidence, and control to every dollar earned, so…
Added 2 hours ago
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
Full-time · Remote
Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money - bringing clarity, confidence, and control to every dollar earned, so…
Added 2 hours ago
Senior Software Engineer (Voyager)
Relay
Remote, Canada
Full-time · Remote
Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money - bringing clarity, confidence, and control to every dollar earned, so…

Workday

Sr Associate Machine Learning Engineer

Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $100,000 - $150,000 CADAdditional CAN Location(s) Base Pay Range: $100,000 - $150,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

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Original job description

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.

Would you like to be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday? Join the AI Agent Engineering team, where we're pioneering cutting-edge HR & Finance AI Agents that deeply integrate within the Workday suite. Be part of an innovative, agile force architecting intelligent agents that will revolutionize our customers' workday.

About the Role

We are seeking highly skilled Machine Learning Engineers to contribute to a cross-functional team building transformative AI agents for HR & Finance. This role is crucial in implementing tooling strategies, staying informed about industry trends, and ensuring our AI-driven solutions integrate effectively within the Workday stack. You will be responsible for implementing AI frameworks, contributing to agent workflow orchestration, utilizing LLMs, agent frameworks, and enterprise AI to design and develop scalable, reliable and trusted AI agents for both HR and Finance.

Key Responsibilities:

Collaborate with a team of innovative engineers to deliver AI-powered agents that integrate deeply into HR and Financial workflows, accelerating intelligent decision making.
Develop relationships with software engineers, machine learning engineers, and data scientists on partner teams
Apply understanding of the AI system lifecycle, including problem definition, data acquisition, model training, system integration, and validation.
Implement and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
Work with product, engineering, and data science teams to implement AI-based automation solutions that enhance HR and financial operations.
Collaborate with external AI vendors, cloud providers, and open-source communities to integrate best-in-class technologies into our AI stack.
Contribute to establishing monitoring, feedback loops, and continuous learning mechanisms to improve agent performance over time.

About You

Basic Qualifications:

3+ years experience as a member of a data science, machine learning / AI engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
2+ years of professional experience with Python, Java, C++, etc. and supporting numeric libraries, with experience in shipping production code and models
1+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow, Huggingface
1+ years of professional experience in building services to host machine learning models in production at scale with cloud computing platforms (e.g. AWS, GCP, etc.)
1+ years of professional experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Other Qualifications:

Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation
Deep understanding of statistical analysis, unsupervised and supervised machine learning algorithms, and natural language processing for information retrieval and/or recommendation system use cases
Professional experience in independently solving ambiguous, open-ended problems and technically leading teams
Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders
Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, etc.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $100,000 - $150,000 CADAdditional CAN Location(s) Base Pay Range: $100,000 - $150,000 CAD

Our Approach to Flexible Work

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!

At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers.

Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not.

In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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More about this job

Responsibilities

Collaborate with cross-functional teams to design, develop, and integrate scalable AI agents into HR and Finance workflows. Implement AI frameworks, manage model lifecycles, and ensure performance through continuous monitoring and feedback loops.

Requirements

Requires 3+ years of experience in machine learning or AI engineering with proficiency in Python, Java, or C++. Candidates must have a bachelor's degree or higher in a technical field and experience with LLMs and cloud-based model deployment.

Skills

Machine Learning
Python
Java
C++
Pytorch
TensorFlow
Huggingface
Cloud Computing
AWS
GCP
Large Language Models
Natural Language Processing
Statistical Analysis
Agent Frameworks
RAG
Software Engineering

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI Engineering
Python
Java
C++
Pytorch
TensorFlow
Huggingface
AWS
GCP
Large Language Models
RAG
Autonomous Agents
Natural Language Processing
Statistical Analysis
HR Tech
Finance Tech
Cloud Computing
Software Development
Data Science
Orchestration Frameworks
Model Training
System Integration
Enterprise AI
Graph Neural Networks
Agile
Product Development
Mentoring
Collaboration
Automation

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