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Jobs in Canada

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Added 2 months ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
We are looking for Forward Deployed Engineer (FDE) - Data Architect, who will directly engage with cross-functional business, AI, and engineering teams to design and deploy scalable,…
Added 2 months ago
B
Senior Site Reliability Engineer I
Braze
Toronto, ON
- Full-time
…billion monthly active users, collecting hundreds of billions of data points each month, and delivering billions of messages to our customers' end-users…
Added 2 months ago
B
Senior Site Reliability Engineer I
Braze
Vancouver, BC
- Full-time
…billion monthly active users, collecting hundreds of billions of data points each month, and delivering billions of messages to our customers' end-users…
Added 2 months ago
GD
Intermediate ISTAR Software Developer
General Dynamics Missions System International
Ottawa, ON
- $75,000 to $85,000 CAD / year
- Full-time
The LC4ISR ISTAR team is seeking an intermediate level Software Engineer to support delivery of critical capabilities for the Canadian Army. You will be working with a multidisciplinary…
Added 2 months ago
MI
Energy Engineer
Magna International
Woodbridge, ON
- Full-time
Update monthly sustainability metrix data on HSELinx (fuel usage, waste, water, etc.)
Added 2 months ago
Design Service Manager - Fire & Life Safety
Jensen Hughes
Mississauga, ON · Ottawa, ON
Professional Engineer (P.Eng.) designation or eligibility for licensure in Ontario.
Added 2 months ago
AM
Systems Validation Engineer – Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will drive SOC and system/rack level validation, triage and debug for the AMD Data Center…
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Lead Machine Learning Engineer – AI Innovation Teams
Added 2 months ago
FE
Data Engineer
Future Electronics
Kirkland, QC
- Full-time
This role is responsible for designing, building, and optimizing enterprise data pipelines that collect, transform, store, and prepare data for reporting, analytics, machine learning, and…
Added 2 months ago
C
Mechanical Engineer
CURA
Calgary, AB
- Full-time
As CURA's Mechanical Engineer, you own the physical hardware that makes our electrochemistry real. You will design the electrolyzer stacks and the fixtures, tooling, and test rigs around…
Added 2 months ago
T
Senior AI Engineer, Agentic Healthcare Platform
TechDoQuest
Canada
- Contract
Ability to design safe integration patterns for healthcare data, clinical systems, or other sensitive regulated environments.
Added 2 months ago
C
Generative AI Engineer
Capgemini
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Design and develop Generative AI and Agentic AI based solutions according to client needs considering factors such as data integration, scalability, and security.
Added 2 months ago
RV
Sr. Manufacturing Quality Assurance Specialist
Ross Video
Iroquois, ON
- Full-time
Lead and facilitate complex quality improvement initiatives using structured problem-solving and data-driven methodologies to improve manufacturing performance and quality outcomes.
Added 1 month ago
W
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
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…
Added 2 months ago
IC
Compiler Engineer
Intel Corporation
ON · Virtual - CAN ON
- Full-time
We are hiring a Compiler Engineer to work on Intel's open-source compiler stack. You will work on the development of new features that will enable the latest language standards. This work…
Added 2 months ago
EC
Mechanical Engineering Manager
Eaton Corporation
Burlington, ON
- Full-time
Professional Engineer (P.Eng.) designation or actively working towards registration.
Added 2 months ago
EC
Electrical Systems Manager
Eaton Corporation
Burlington, ON
- Full-time
Professional Engineer (P.Eng.) designation or eligibility to obtain.
Added 1 month ago
Q
Hardware Design Engineer – Application Engineering, Staff
Qualcomm
Ottawa, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 2 months ago
Q
DSP Application Engineer, Staff
Qualcomm
Ottawa, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 2 months ago
Business Operations Lead
Quandri
Vancouver, BC
…pair a deep understanding of insurance processes, systems, and data with serious technical capability and proprietary models, so the transformation is tangible and operational rather than…
Added 2 months ago
I
Sr. Staff Developer, Architecture
iQmetrix
Regina, SK
- Full-time
We are hiring a Principal Engineer, Architecture. This is a senior individual contributor role for someone who is still happiest with their hands on the keyboard, and who thinks in systems…
Added 2 months ago
MS
Senior Enterprise Software Developer
Motorola Solutions
Vancouver, BC
- Full-time
The MSI System Application Engineer team comprises both software and hardware experts responsible for delivering seamless, end-to-end technological solutions. As part of this team, the…
Added 2 months ago
Software Engineer, Intern (Summer or Winter)
Stripe
Toronto, ON
Added 2 months ago
RA
Senior Software Engineer, Cloud Platform
Rivian and Volkswagen Group Technologies
Remote, Canada
- $108,200 to $143,430 CAD / year
- Full-time
- Remote
Added 2 months ago
Consultant - Modernisation des applications | Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…closely with customers to design, develop, implement and re-engineer applications to fully leverage the AWS Cloud, including GenAI-accelerated modernization techniques. You'll be a key…

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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