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Added 1 hour ago
Sr Associate Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…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…
Added 4 hours ago
Sr. Staff/Staff Engineer, Digital Design
InnoPhase IoT
Vancouver, BC
Full-time
As a Sr. Staff/Staff Digital Design Engineer, you will be working with a team of design engineers to develop novel SoC products for connectivity and communication. You will also be a key…
Added 4 hours ago
Sr. Network Solution Design Engineer, Functional Engineering
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in…
Added 4 hours ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 5 hours ago
Back End Developer
Envision Technology Solutions
Toronto, ON
Full-time
Ensure compliance with regulatory requirements and support audit certification efforts, including documenting systems for regulatory and internal audit purposes.
Added 5 hours ago
Manager SR&ED, Manufacturing
Deloitte
Vancouver, BC
Full-time
5+ years in a process engineer, project engineer, innovation or operations management role
Added 5 hours ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 5 hours ago
Security Platform Engineer (SIEM)
Sun Life
Toronto, ON · North York, ON
Full-time
The Security Platform Engineer (Security Visibility) is responsible for assisting the Sr Platform Engineer in planning, designing, implementing, and monitoring security technologies and…
Added 5 hours ago
Sr Software Development Engineer VNDLY
Workday
Toronto, ON · Greater Toronto Area, Canada
Full-time
…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…
Added 11 hours ago
Sr Android Engineer
Royal Bank of Canada
Toronto, ON
Full-time
…responsible for the ongoing maintenance of the applications in a support…
Added 16 hours ago
Mechanical Engineer
Actalent
Burnaby, BC
Contract
Are you a Sr. Mechanical Engineer who enjoys seeing your designs come to life, solving complex equipment challenges, and staying involved beyond the drawing board?
Added 16 hours ago
Hardware Engineer
Actalent
Ottawa, ON · Kanata, ON
Contract
Added 16 hours ago
Mechanical & Hydraulic Engineer
Actalent
Vancouver, BC
Contract
Are you a Sr. Mechanical Engineer who enjoys seeing your designs come to life, solving complex equipment challenges, and staying involved beyond the drawing board?
Added 21 hours ago
Sr. Full Stack Engineer, TD Securities
TD
Toronto, ON
Full-time
The Asset Liquidity and Funding Analytics Technology team at TD Securities is seeking an experienced Full-stack Engineer to build the next generation of a risk computation platform. The…
Added 23 hours ago
Sr Android Engineer
RBC
Toronto, ON
Full-time
…responsible for the ongoing maintenance of the applications in a support…
Added 1 day ago
Sr. Full Stack Developer, TD Securities
TD
Toronto, ON
Full-time
Our mission in the Equity Derivatives Technology team is to provide best in class solutions and support to the front office and many downstream partners. We use a mixture of proprietary and…
Added 1 day ago
Sr AI Developer Platform/ Platform Engineering
FICO
Canada
Full-time
We call that environment the harness (Agent = Model + Harness). As a Lead Harness Engineer you'll build and own the individual controls that make up that harness, working end-to-end from…
Added 1 day ago
Sr. Engineer/Engineer - Structural
Nutrien
Allan, SK
Full-time
Provide daily structural engineering support to the mill maintenance and operations departments
Added 1 day ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 1 day ago
Sr. Software Engineer (Salesforce), Specialty Health Technology
Loblaw Companies Limited
Brampton, ON
Full-time
As a Senior Software Engineer (Salesforce), you will be part of the Specialty Health Technology team, building and evolving large-scale Salesforce solutions that support the SHN business.…
Added 1 day ago
Test Lead/ Sr. SDET
Galactic Minds INC
Vancouver, BC
Full-time
Support both Manual and Automation test teams
Added 1 day ago
Sr. Software Engineer
TechDoQuest
Mississauga, ON
Full-time
Clarify requirements and support the development team during implementation.
Added 1 day ago
Sr Director, Engineering & Fac. & Validation
Emergent Biosolutions
Winnipeg, MB
…that both site and global objectives are achieved through the support of the EFV team. Deliver on site EFV objectives while implementing harmonized EFV systems and processes. Provide…
Added 1 day ago
DevOps Engineer
IFG - International Financial Group
Vancouver, BC · Greater Vancouver, BC
Contract
Title: Azure DevOps Engineer – Azure DevOps, Go (Programming Language)
Added 1 day ago
Senior Project Engineering Specialist
Riverside Natural Foods Ltd. (Home of MadeGood)
Toronto, ON · North York, ON
Full-time
Personal development: We’ll support and empower you to chart your own path and reach any heights you set for yourself. Career paths at Riverside are carved by the people walking on them,…

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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