Jobs in Canada

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Added 10 hours ago
HM
Internal Medicine
Health Match BC
Vancouver, BC
- Full-time
Experience with Complex Chronic Diseases and/or in a related field is desirable. There is the opportunity for mentorship and clinical education to enhance your skills and knowledge base in…
Added 10 hours ago
HM
Internal Medicine
Health Match BC
Vancouver, BC
- Full-time
As a Medical Oncologist, you will use your experience and qualifications to provide quality cancer care to our patients. Clinical experience in the management of Gastrointestinal tumors…
Added 10 hours ago
HM
Obstetrics/Gynecology
Health Match BC
Vancouver, BC
- Full-time
…personal dedication to the Royal College’s focus on lifelong learning through professional…
Added 11 hours ago
DB
Part Time Bridal Sales
David's Bridal
Winnipeg, MB
- Part-time
The Stylist is responsible for providing and maintaining a positive, friendly, empathetic and professional selling experience with all customers. Stylists are responsible for providing…
Added 12 hours ago
CR
Occupational Therapists - Adults
Champlain Rehab Solutions
Ottawa, ON
- Full-time
CRS is a leading learning organization so we can provide you with comprehensive orientation and training at the start and throughout your career
Added 12 hours ago
Business Development Representative (Canada)
Cority
Toronto, ON
Experience in a sales role, preferably in B2B, preferably in software.
Added 13 hours ago
P–
Manager, Planning and Project Controls, BC Health Workday
PHSA – Corporate
BC
- Full-time
- Temporary
Added 13 hours ago
L
Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Bachelor's or Master’s degree in computer science, machine learning, or related technical field; Master's or equivalent experience beneficial
Added 13 hours ago
L
Applied AI/ML Scientist
lululemon
Vancouver, BC
- Full-time
Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content…
Added 14 hours ago
SC
store manager, Varennes to Saint-Hyacinthe Area, QC
Starbucks Coffee Company
Varennes, QC · Saint-Hyacinthe, QC · Beloeil, QC
- $59,400 to $78,450 CAD / year
Our store managers bring the Starbucks experience to life by managing in-store activities, contributing to financial success, building great teams and creating a great place to meet in…
Added 14 hours ago
LH
AI Augmented Quality Assurance Analyst I
LGI Healthcare Solutions Santé Inc.
Montréal, QC
- Full-time
- Hybrid
A bachelor’s degree in computer science or equivalent experience;
Added 14 hours ago
DF
Millwright night shift
Dare Foods Limited
Kitchener, ON
- $42.7 CAD / hour
Job Title: Millwright Positions on night shift – Full Time · We are currently recruiting for Millwright positions on the Afternoon & Night shift
Added 14 hours ago
DF
Millwrights afternoon shift
Dare Foods Limited
Kitchener, ON
- $42.7 CAD / hour
Must possess excellent Communication skills · Must have good communication skills (verbal and written)
Added 14 hours ago
A
Développeur C#/.NET senior ou développeuse C#/.NET senior
Alithya
Toronto, ON
- Full-time
As a C#/.NET Senior Developer, you'll contribute to the design, development, and evolution of enterprise applications supporting a variety of business and technology initiatives. Working…
Added 14 hours ago
RB
Senior Manager, AI Engineering (.NET)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
…ready solutions. You will champion the adoption of AI, machine learning, and emerging technologies, while driving the integration of CNB US Functions technology in –Fraud, AML, Finance, and…
Added 14 hours ago
W
Machine Learning Engineer Intern (Canada)
Workday
Vancouver, BC · Toronto, ON
- Full-time
- Hybrid
Apply machine learning and AI techniques, including deep learning and LLM-based approaches such as retrieval and prompt tuning, to power search and enhance the user experience
Added 14 hours ago
W
Software Development Engineer Intern (Canada)
Workday
Vancouver, BC
- Full-time
- Hybrid
As a Software Development Engineer Intern, you will jump right into building real-world solutions and experience what it's like to be a developer at Workday. You'll work closely with a team…
Added 14 hours ago
PA
management analyst
Paber Aluminium
Cap-Saint-Ignace, QC
- Full-time
Added 14 hours ago
T&
Senior Consultant, Infrastructure Cost & Commercial (Senior Estimator/QS)
Turner & Townsend
Toronto, ON
- $125,000 to $150,000 CAD / year
- Full-time
- On-site
…or contracting environment. With 8-10+ years of postgraduate experience, you have developed a reputation for delivering high-quality cost estimates on major capital infrastructure projects…
Added 15 hours ago
C
Electrical Project Engineer - Buildings
CIMA+
Vancouver, BC
- $92,800 to $127,600 CAD / year
- Full-time
- Hybrid
Continued professional development through participation in internal and external learning opportunities
Added 15 hours ago
BC
Registered Practical Nurse - Critical Care
Brant Community Healthcare System
Brantford, ON
- Full-time
Current Basic Cardiac Life Support (BCLS) certification required
Added 15 hours ago
BC
Registered Practical Nurse - Critical Care
Brant Community Healthcare System
Brantford, ON
- Full-time
Current Basic Cardiac Life Support (BCLS) certification required
Added 16 hours ago
SC
Sales Associate-Print&Services
Staples Canada
Brampton, ON
- Full-time
…the store by utilizing our selling model within the store and learning all our products and services to offer informed…
Added 16 hours ago
S
Stage Experience Lead - Full Time
Sephora
Saskatoon, SK
- $20 to $23.55 CAD / hour
- Full-time
The Stage Experience Lead - Full Time will be assigned to oversee all sales floor departments within a specific Sephora location. This can include Beauty, Skincare, Fragrance & Haircare or…
Added 16 hours ago
S
Services Lead, Stores - Full Time
Sephora
Saskatoon, SK
- $20 to $23.55 CAD / hour
- Full-time
Sales Experience. Ensure all Beauty Advisors properly execute Sephora’s selling .Be aware of the store’s sales performance and opportunities ensuring that the department specific team…

Workday

Machine Learning Engineer Intern (Canada)

Vancouver, BC, Canada
Toronto, ON, Canada

Hybrid

Primary CAN Base Pay Range: $66,400 - $99,600 CAD · Full-time

Apply on workday.wd5.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Pay: Primary CAN Base Pay Range: $66,400 - $99,600 CAD
Job type: Full-time
Workplace: Hybrid
Apply by: Nov 18, 2026
Posting language: English
Posted: Nov 14, 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

The Workday Machine Learning team researches, builds, and deploys the engine that powers the heart of Workday’s intelligent core - a platform supporting 37+ million users and growing. Our engineers work with innovative technologies and help build real-life products that improve the lives of the world’s professionals.

Our mission is to make machine learning and AI core to Workday’s products. We build data products and AI solutions designed to scale across hundreds of use cases throughout the Workday platform. Our team is passionate about teaching and learning, so bring your curiosity, share your perspective, and learn with us as we change the way millions of people work.

About the Role

As a Machine Learning Engineer Intern, you’ll help develop Workday’s intelligent core by contributing to the scalable AI and ML platforms that power personalized experiences for millions of users. Working alongside experienced engineers and researchers, you’ll help design, implement, and deploy machine learning models and large language model applications that support innovative data products.

Most of your time will be spent writing production-quality code, running experiments, and working with large datasets to improve model and system performance. This is an opportunity to apply your software engineering and machine learning knowledge to real-world products that support customers at scale.

Key Responsibilities:

Contribute across the full machine learning lifecycle, from data processing and experimentation through model and system deployment
Apply machine learning and AI techniques, including deep learning and LLM-based approaches such as retrieval and prompt tuning, to power search and enhance the user experience
Write production-quality code and build scalable components that support AI and ML products across the Workday platform
Build and deploy APIs and microservices using a modern engineering stack, including Docker and Kubernetes
Design and run evaluations to measure model and system quality, using results to guide what to improve or build next

Workday Early Career Programs:

In addition to collaborating with experienced Machine Learning Engineers, you’ll engage in our Early Career Programs - specifically structured to support and empower you to succeed throughout your internship!

Workday Intern Program

Brighter work days start with real work and real support from a community that helps you shine from day one. During our in-person internship experience, you’ll jump into meaningful projects and see how your ideas can help shape the future of work.

Interns build enterprise skills through applied learning, personalized coaching, and connection events designed so our Early Talent can bring their best self to work. If you’re invested in your growth, team-oriented, and ready to bring fresh ideas to work that makes an impact, we’d love to meet you. The future is now - apply today to launch your career as a member of the Workday Intern Program.

P&T Atmosphere:

As a member of the Product & Technology org, you’ll participate in our P&T Atmosphere program - a dedicated investment in your growth that offers tailored technical training and deep dives into the Workday ecosystem. This specialized program equips you with job-critical skills and connects you directly with P&T leaders and peers to fast-track your technical career.

About You

Basic Qualifications:

Currently enrolled in a Bachelor’s or Master's degree program in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related degree program
Less than 12 months of previous professional work experience
Anticipated graduation date between December 2027 and June 2028
Available for a full-time, in-person 6-month internship starting in February 2027 and ending August 2027 in the Vancouver office, and you will return to your university degree program after the conclusion of the internship
Available for a full-time, in-person 12-week internship starting in May 2027 and ending August 2027 in the Toronto office, and you will return to your university degree program after the conclusion of the internship
Experience with both software engineering and machine learning engineering concepts through coursework, research, internships, or personal projects
Experience programming in Python or another language used for machine learning, data processing, or software development
Experience with one or more of the following: Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), Pandas, PySpark, or AWS
Familiarity with AI tooling such as Gemini, Claude, Cursor, Codex, or similar tools

Other Qualifications:

Interest in LLM-based approaches, such as retrieval, prompt tuning, embeddings, or model evaluation
Curiosity and eagerness to learn, with an interest in how AI and ML systems are developed, tested, deployed, and improved over time
Excellent communication skills, both verbal and written, with the ability to share technical ideas clearly and collaborate across teams

Visa sponsorship is not available for this role.

Workday Pay Transparency Statement

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: $66,400 - $99,600 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.

Apply on workday.wd5.myworkdayjobs.com About employer

More about this job

Responsibilities

The Machine Learning Engineer Intern will work on data processing, model experiments and deployment, writing production code, and building APIs and microservices. The intern will also run evaluations to measure model quality.

Requirements

Candidates need to be enrolled in a Bachelor's or Master's program in a computer science, data science, AI or related field, with programming experience in Python and some software and ML engineering background. Experience with RAG, NLP, Pandas, PySpark or AWS is required, along with strong communication skills.

Skills

Python
Pandas
PySpark
AWS
Docker
Kubernetes
Retrieval-Augmented Generation (RAG)
Natural Language Processing (NLP)
Large language models
Prompt tuning
Embeddings
Model evaluation
Deep learning
API development
Microservices
Machine learning
Software engineering
Gemini
Claude
Cursor
Codex

Benefits

Workday Intern Program with applied learning and personalized coaching
Workday Bonus Plan or role-specific commission/bonus
Annual refresh stock grants

Keywords

Machine Learning Engineer Intern
machine learning
deep learning
LLM
RAG
retrieval-augmented generation
NLP
prompt tuning
embeddings
Python
Pandas
PySpark
AWS
Docker
Kubernetes
microservices
APIs
Gemini
Claude
Cursor

Seniority

Entry level

Perks

Performance bonus
Stock or equity

Tools

Python
Pandas
PySpark
AWS
Docker
Kubernetes
Gemini
Claude
Cursor
Codex

Languages

English

Fields of study

Computer Science
Machine Learning
Data Science
Artificial Intelligence
Software Engineering

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Work requirements

Jobs in Canada