Full-time jobs in Canada (383,912 jobs)

Explore full-time jobs across Canada. Choose a location and read the full job details.

383,912 listings · 47,486 employers Counted Nov 10, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (9,106 listings), Health Match BC (4,035 listings), Walmart (2,937 listings).

Common roles: Project manager, Sales representative, Cook.

67,219 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	24.00	39,188
CAD / year	80,000.00	25,688
CAD / month	5,347.31	700
USD / year	127,000.00	227
CAD / week	1,530.00	77
CAD / day	360.00	44
USD / hour	22.00	28
GBP / year	40,000.00	13
EUR / year	68,000.00	11
USD / month	4,000.00	11

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 1% remote, 16% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Apple Retail Shop

Senior Machine Learning Engineer

Cambridge, ON, Canada

The base pay range for this role is between $165,800 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location. · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: The base pay range for this role is between $165,800 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location.
Job type: Full-time
Apply by: Dec 6, 2026
Experience: 5+ years of related experience building high throughput scalable applications or building machine learning models.
Posting language: English
Posted: Nov 10, 2026

Original job description

Summary

Posted: Mar 11, 2026

Role Number:200651296-1242

Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things. We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience! The role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimize Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to work on new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers ever day.

Description

To be successful, candidates will need a machine learning background, proven software development skills, a love of learning. They will also need to be able to collaborate with multi-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.

Responsibilities

Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment.
Give to the ongoing improvement of our ML infrastructure and tooling.
Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.
Mentor junior MLEs on the team to ensure best practices are followed.

Minimum Qualifications

Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience.
5+ years of related experience building high throughput scalable applications or building machine learning models.
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building distributed systems.
Experience building data processing pipelines and large scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
Skilled in communication, problem solving, critical thinking Attention to detail, data accuracy and quality of output.

Preferred Qualifications

PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc).
Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecture.
Skilled in communication, problem solving, critical thinking.
Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
Experience with Spark, TensorFlow, Keras, and PyTorch a plus

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,800 and $292,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

Apply on LinkedIn About employer

More about this job

Responsibilities

Develop and deploy scalable, production-ready machine learning solutions for Apple’s online store, including search, recommendations, personalization, and generative AI. Improve machine learning infrastructure and tooling, collaborate across technical and product teams, and mentor junior engineers.

Requirements

A bachelor’s degree in computer science, statistics, mathematics, or equivalent experience is required, along with at least five years of relevant experience building scalable applications or machine learning models. Candidates should have object-oriented programming and distributed-systems experience, familiarity with data pipelines and large-scale machine learning technologies, and strong communication and problem-solving skills; graduate education and relevant machine learning specializations are preferred.

Skills

Machine Learning
Python
Java
C++
Distributed Systems
Data Processing Pipelines
Big Data Technologies
Spark
SQL
Snowflake
Hadoop
Recommender Systems
Personalization
Search
Generative AI
Natural Language Processing

Benefits

Medical Coverage
Dental Coverage
Retirement Benefits
Discounted Products
Free Services
Education Expense Reimbursement
Employee Stock Purchase Plan
Restricted Stock Units
Potential Bonuses
Potential Relocation Assistance

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Applied Machine Learning
Production-Ready Systems
Scalable Applications
Distributed Systems
Object-Oriented Programming
Python
Java
C++
Data Processing Pipelines
Big Data
Spark
SQL
Snowflake
Hadoop
Recommender Systems
Ranking
Personalization
Product Search
Generative AI
Retrieval-Augmented Generation
Transformer Architecture
Natural Language Processing
Deep Learning
Bandits
Probabilistic Graphical Models
Reinforcement Learning
TensorFlow
Keras
PyTorch

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Work requirements

Full-time jobs in Canada