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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
10+ years of experience in banking, payments, transaction banking, treasury, or financial services technology.
Added 9 mins ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience in leading technical teams and delivering complex Salesforce solutions…
Added 9 mins ago
CS
Shop Labourer
Certified Sales and Rentals
Saskatoon, SK
- Full-time
…products, fall protection, suspended access, agri-business field services, electrical services, and safety training to mining site services, fabrication, rentals, repairs, testing and…
Added 9 mins ago
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Industrial Mechanic/Millwright Journeyperson (Site Based)
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
…products, fall protection, suspended access, agri-business field services, electrical services, and safety training to mining site services, fabrication, rentals, repairs, testing and…
Added 9 mins ago
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Ironworker (Site-Based)
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
…products, fall protection, suspended access, agri-business field services, electrical services, and safety training to mining site services, fabrication, rentals, repairs, testing and…
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Saskatoon, SK
- Full-time
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Group Services Labourer - Skilled Labourer (Hands-On Training Provided)
Northern Strands Group of Companies
Saskatoon, SK
- Full-time
…products, fall protection, suspended access, agri-business field services, electrical services, and safety training to mining site services, fabrication, rentals, repairs, testing and…
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DevOps Consultant – Application Release & Platform Operations
CGI
Halifax, NS
- Full-time
7+ years of experience in DevOps, Cloud Engineering, Platform Engineering, Infrastructure Engineering, or a related field.
Added 9 mins ago
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LLM Engineer
ZS
Toronto, ON
- Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 25 mins ago
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Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 39 mins ago
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Ingenieur Qualité - Conception Biomedical
Actalent
Montreal, QC
- $45 to $70 CAD / hour
- Contract
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Amélioration Continue - Continuous Improvement
Actalent
Montreal, QC
- $41 to $60 CAD / hour
- Contract
The Continuous Improvement Engineer leads end-to-end improvement projects on the production floor, from initial concept to final delivery, ensuring that all work is performed safely,…
Added 55 mins ago
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Graduate Mechanical Engineer
Worley
Vancouver, BC · Edmonton, AB · Calgary, AB
- Full-time
…providing exposure across engineering and project delivery, project services, and field operations. Throughout the program, participants may complete rotations in a mix of office and…
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Principal Mechanical Engineer
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Oakville, ON
- Full-time
…procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we…
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Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer on the IC3 AEGIS team, you will design and build an AI-driven platform supporting centralized security automation and risk remediation. You will develop…
Added 1 hour ago
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Machine Learning Engineer Intern
Workday
Toronto, ON · Vancouver, BC · Canada, BC, Vancouver
- Full-time
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…
Added 1 hour ago
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Software Development Engineer Intern
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
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 2 hours ago
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Hydrogeologist
AECOM
Winnipeg, MB
- $115,000 to $180,000 CAD / year
- Full-time
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big…
Added 3 hours ago
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Graduate Technical Consultant, Water Engineer-in-Training
Worley
Markham, ON
- Full-time
The Graduate Technical Consultant I, Water Engineer-in-Training, supports the delivery of high-quality water and wastewater treatment consulting services for industrial clients. Working as…
Added 3 hours ago
Aviation Program Leader / Design Director
Mott MacDonald
Toronto, ON
…integration, governance and delivery of multidisciplinary design services, coordinating architecture, engineering, airport systems, specialist consultants and contractor partners to achieve…
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Senior Software Engineer - Mobile (React Native/iOS/Android)
BitGo
Toronto, ON
…wallets, staking, trading, financing, stablecoins, and settlement services from regulated cold storage. Since 2013, BitGo has focused on accelerating the transition of the financial system…
Added 4 hours ago
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Associate Quality Engineer - Point of Care (Ottawa)
Abbott
Ottawa, ON
- $59,250 to $86,900 CAD / year
- Full-time
…chance to analyze quality standards for components, materials or services and apply measures, sampling methods, testing methodology and other procedures that ensure that quality standards…
Added 4 hours ago
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Site Reliability Engineer
SMARTFOX
Canada
- Full-time
Build and run highly available, scalable services on AWS, Azure, or GCP with Kubernetes, Docker, and infrastructure-as-code (Terraform, Pulumi)
Added 4 hours ago
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Senior Engineer, Roads and Bridges
Toronto Pearson International Airport
Toronto, ON
- Full-time
As Senior Engineer, Roads and Bridges, you will:
Added 5 hours ago
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Senior Specialist Engineer Bridge Design
CN
AB · Edmonton, AB
- Full-time
…(AREMA) guidelines. The position is considered a Professional Engineer technical role and requires self-sufficient competencies in structural engineering principles and mastery of Company…

Workday

Machine Learning Engineer Intern

Toronto, ON, Canada
Vancouver, BC, Canada
Canada, BC, Vancouver, Canada

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

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Job details

Pay: Primary Location: CAN.BC.VancouverPrimary CAN Base Pay Range: $66,400 - $99,600 CAD
Job type: Full-time
Posting language: English
Posted: Oct 9, 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.

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More about this job

Responsibilities

The intern will contribute to the full machine learning lifecycle, including data processing, experimentation, and the deployment of scalable AI models. They will write production-quality code and build microservices to enhance user experiences across the Workday platform.

Requirements

Candidates must be currently enrolled in a relevant Bachelor's or Master's degree program with an anticipated graduation between 2027 and 2028. Applicants should have experience with software engineering, machine learning concepts, and proficiency in Python or similar programming languages.

Skills

Machine learning
Artificial intelligence
Python
Software engineering
Deep learning
Large language models
Retrieval-augmented generation
Natural language processing
Pandas
PySpark
AWS
Docker
Kubernetes
Data processing
Model evaluation

Benefits

Stock grants
Bonus plan
Professional development
Coaching
Technical training

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Artificial Intelligence
Python
Software Engineering
Deep Learning
LLM
RAG
NLP
Pandas
PySpark
AWS
Docker
Kubernetes
Gemini
Claude
Cursor
Codex
Data Science
Computer Science
Microservices
Prompt Tuning
Embeddings
Model Deployment
Data Processing
Enterprise Software

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