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Added 2 months ago
GD
Co-op Winter 2027 – Systems Test Engineering - 4-8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Some project based experience with particular emphasis in the testing role would be an asset
Added 2 months ago
Short Term 2027 Machine Learning/Artificial Intelligence Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
…development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role…
Added 2 months ago
Summer 2027 Long Term Machine Learning/Artificial Intelligence Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
…development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role…
Added 2 months ago
Short Term 2027 Program Management Intern/Co-Op
Advanced Micro Devices, Inc
Calgary, AB
We will be working collaboratively with the AMD project management office and engineering community to help continuous system and process improvement and be efficient.
Added 2 months ago
Summer 2027 Long Term Program Management Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
We will be working collaboratively with the AMD project management office and engineering community to help continuous system and process improvement and be efficient.
Added 2 months ago
Short Term 2027 Program Management Intern/Co-Op
Advanced Micro Devices, Inc
Markham, ON
We will be working collaboratively with the AMD project management office and engineering community to help continuous system and process improvement and be efficient.
Added 2 months ago
I
Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Toronto, ON
- $65,166.4 to $100,547.2 CAD / year
- Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 2 months ago
I
Machine Learning Developer Intern (January 2027 - 4 Months - Toronto or Montreal) / Stagiaire développeur en apprentissage automatique (janvier 2027 - 4 mois - Toronto ou Montréal)
IBM
Montreal, QC
- $65,166.4 to $100,547.2 CAD / year
- Full-time
As an Intern Machine Learning Developer, you’ll have the unique opportunity to learn and use industry-leading ML technologies on a cloud platform (e.g. IBM Cloud, Azure, AWS or Edge) by…
Added 2 months ago
L
Process Engineer Co-op/Intern
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Added 2 months ago
E
Physical AI Engineer
EY
Toronto, ON
- Full-time
Strong Python software engineering skills with hands-on experience developing AI/ML, robotics, automation, or system-integration solutions.
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
…Fitch Group, a global leader in financial information services with operations in more than 30 countries, which also includes Fitch Solutions. With dual headquarters in London and New York,…
Added 2 months ago
FE
Data Engineer
Future Electronics
Kirkland, QC
- Full-time
…business intelligence and advanced analytics while working closely with analysts, data scientists, architects, and business…
Added 2 months ago
BS
Platform Engineer
Bay Street Staffing
Toronto, ON · Greater Toronto Area, Canada
- Contract
Develop automation scripts and platform tooling using Python and Bash.
Added 2 months ago
OM
Director, Audience Strategy
Omnicom Media
Toronto, ON
- Full-time
Leveraging your industry knowledge and leadership skills, you will work with internal product teams and vendors partners to grow our capabilities.
Added 1 month ago
W
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
Added 2 months ago
EG
AI - Full Stack Engineer
Emterra Group
Remote, Canada
- $110,000 to $120,000 CAD / year
- Full-time
- Remote
…organics, and waste that keep our communities clean and safe. With customer service and safety as our focus, we are looking for an energetic and driven employee to support our growing…
Added 2 months ago
Senior Solutions Architect, ISV Canada
Amazon
Toronto, ON
- Experience with scripting, automation, and software development in multiple languages (Python, JavaScript, Java, etc.)
Added 2 months ago
PG
AI Engineer
Pinpoint Global Communications
Canada
- Full-time
…portfolio of vertical market B2B SaaS companies - and we operate with a startup mindset: high ownership, high velocity, and real…
Added 2 months ago
Director, AI & Data Science
Artefact
Montreal, QC
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business…
Added 2 months ago
Director, AI & Agentic Engineering
Artefact
Montreal, QC
With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business…
Added 2 months ago
C
Senior Software Engineer, AI
Calabrio
Canada
- Full-time
Strong experience with Python and backend frameworks such as Flask or Django for building production APIs and AI services.
Added 2 months ago
J
Manager, Customer Analytics (Sales & Marketing)
Jobber
Remote, Canada
- Full-time
- Remote
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service…
Added 2 months ago
C
Software Development Co-op
commonsku
Remote, Canada
- $3,500 to $4,800 CAD / month
- Full-time
- Remote
…projects, building quotes, placing orders, and collaborating with clients and suppliers seamlessly through the power of the Connected…
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
…analysts, and digital experts to solve complex business challenges with pragmatic, production-ready…
Added 2 months ago
C
Senior Design Verification Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
We are seeking a Senior Design Verification Engineer who can combine strong verification expertise with applied AI/ML collaboration to help build production-grade tools for chip…

Workday

Machine Learning Engineer - Financials

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

Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 CAD · Full-time

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 CAD
Job type: Full-time
Posting language: English
Posted: Sep 8, 2026

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

Do you want to be part of the team which is reinventing Enterprise Financials for the agentic age? The Financials Hyper Automation AI team is a small, advanced team of ML engineers charged with re-envisioning and building the next generation of ERP Financial and Accounting systems. We have an entrepreneurial mindset with a focus on creating delightful, intelligent experiences, leveraging the state-of-the-art in AI as well as strong, proven techniques from conventional machine learning. Working closely with product managers, we build advanced prototypes as well as deploy full production-grade features to solve our customer’s most pressing business challenges. Our current areas of development include strong reasoning agents for complex financial workflows and agentic self-improvement.

About the Role

As a ML Engineer on the FIN Hyperautomation AI team, you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI. You will work with other engineers to deliver ML solutions across Workday’s ML infrastructure, from training ML models to developing APIs, as well as managing the lifecycle of such products and services. You will be backed by Workday’s vast computing resources and rich datasets, to deliver transformative value to our customers.

Your specific responsibilities include:

Own exploration, design, implementation, and deployment of features.
The evaluation, scalability, and observability of these features.
Apply ML techniques, including LLMs and natural language understanding, to intelligently process business documents and, for example, automate critical customer workflows.
Stay up to date with advancements in AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive innovation.
Serve as a technical role model for more junior engineers

Sound like your kind of challenge?

About You

Basic Qualifications:

5+ years experience as a member of a data science, machine learning 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.
5+ years of professional experience with Python and supporting numeric libraries, with experience in shipping production code and models
5+ years of professional experience with cloud computing platforms (e.g. AWS, GCP, etc.)
Bachelor’s (Master’s or PhD preferred) degree in engineering, data/computer science, physics, math or equivalent.

Other Qualifications:

5+ years of professional experience in building information retrieval systems
5+ years of professional experience building scalable, production-level ML services on platforms such as Kubernetes.
5+ years of professional experience in ML and deep learning frameworks & toolkits, such as scikit-learn, Pandas, PySpark, Pytorch, TensorFlow.
3+ years of professional experience in developing with LLMs, RAG, and AI agents.
Strong understanding of statistical analysis, ML paradigms and algorithms, and natural language processing, with a focus for information retrieval and/or recommendation system use cases.
Professional experience in independently solving ambiguous, open-ended problems and technically leading a team.

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: $128,000 - $192,000 CADAdditional CAN Location(s) Base Pay Range: $128,000 - $192,000 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

The role involves designing, implementing, and deploying machine learning features to solve complex financial business challenges. You will work on the full lifecycle of ML products, from training models to managing production-grade services and APIs.

Requirements

Candidates must have at least 5 years of experience in machine learning engineering or data science, including production-level deployment. A bachelor's degree in a technical field is required, with proficiency in Python and cloud computing platforms.

Skills

Machine learning
Python
Generative AI
LLMs
RAG
Cloud computing
Kubernetes
Deep learning
PySpark
PyTorch
TensorFlow
Natural language processing
Statistical analysis
Information retrieval
Recommendation systems
API development

Benefits

Stock grants
Bonus plan
Flexible work

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Python
Generative AI
LLMs
RAG
Cloud Computing
AWS
GCP
Kubernetes
Deep Learning
Scikit-learn
Pandas
PySpark
PyTorch
TensorFlow
Natural Language Processing
Statistical Analysis
Information Retrieval
Recommendation Systems
ERP
Financial Systems
Agentic AI
API Development
Model Lifecycle Management
Data Science
Software Development
Enterprise Financials
Hyper Automation
Autonomous Agents
Orchestration Frameworks

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