Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

186,011 listings · 19,973 employers Counted Oct 30, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,773 listings), Shoppers Drug Mart (3,705 listings), Walmart Canada (2,986 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

30,566 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	23.00	15,781
CAD / year	80,000.00	12,216
USD / year	100,000.00	754
USD / hour	20.00	621
CAD / month	5,131.00	49
CAD / week	937.50	28
CAD / day	114.00	12

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: 0% remote, 17% 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

Jobs in Ontario

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Added 3 hours ago
SA
Cook 2 (Full-Time) - (YYZ Airport)
SSP America
Mississauga, ON
- Full-time
Added 3 hours ago
CO
Committee of Adjustment Coordinator
City of Mississauga
Mississauga, ON
- Temporary
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K
Digital Librarian
Klick
Toronto, ON
- Full-time
Added 3 hours ago
CS
Data Architect
Confiar Services
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Added 3 hours ago
DC
Case Worker - HART Hub - 2 Weekend Vacancies (12-hour afternoon/evening)
Durham Community Health Centre
Whitby, ON
- Part-time
Added 3 hours ago
TI
Python Developer
TekStaff IT Solutions
Toronto, ON
- Contract
Added 3 hours ago
GM
Field Claims Advisor Property
Gore Mutual Insurance
Cambridge, ON
- Full-time
Added 3 hours ago
A
Incident Management Lead
Altis
Toronto, ON
- $125,000 to $140,000 CAD / year
- Full-time
Added 3 hours ago
RD
Quality Engineer
Randstad Digital
Toronto, ON
- Contract
Added 3 hours ago
ZS
Salesforce Developer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 3 hours ago
CI
Manager, Portfolio Construction & Risk
Canada Infrastructure Bank/ Banque de l'infrastructure du Canada
Toronto, ON
- Full-time
Added 3 hours ago
T
TikTok Commerce - Marketing Campaign Manager
TikTok
Toronto, ON
- Full-time
Added 3 hours ago
OI
Bilingual Senior Case Manager
OXARO Inc.
Ottawa, ON
- Full-time
Added 3 hours ago
SA
Food Service Attendant (FT) - YTZ Airport
SSP America
Toronto, ON
- Full-time
Added 3 hours ago
SA
Server (Full-Time) - Obispo (YTZ)
SSP America
Toronto, ON
- Full-time
Added 3 hours ago
K
Post Production Producer
Klick
Toronto, ON
- Full-time
Added 3 hours ago
EE
Lead/ Senior Power Systems Engineer
ECG Engineering Pty Ltd
Mississauga, ON
- Full-time
Added 3 hours ago
GD
Dishwasher
Gators Dockside
Ottawa, ON
- Full-time
Added 3 hours ago
T
Sales Vertical Manager - Global Business Solutions - Canada
TikTok
Toronto, ON
- Full-time
Added 3 hours ago
SA
Bartender (Full-Time) - YTZ Airport
SSP America
Toronto, ON
- Full-time
Added 3 hours ago
SA
Food Service Cashier (YTZ Airport)
SSP America
Toronto, ON
- Full-time
Added 3 hours ago
EE
Lead Electrical Designer
ECG Engineering Pty Ltd
Mississauga, ON
- Full-time
Added 3 hours ago
IG
Accounting Manager
InStore Group of Companies
Mississauga, ON
- $115,000 to $120,000 CAD / year
- Full-time
Added 3 hours ago
RF
Lawyer - Mortgage Enforcement & Debt Recovery
Recruiting For Less
Vaughan, ON
- $120,000 to $180,000 CAD / year
- Full-time
Added 3 hours ago
P/
Team Lead
PrecisionERP / PrecisionIT
Toronto, ON
- Full-time

Stripe

Master's Machine Learning Engineer, Intern

Toronto, ON, Canada

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

What you’ll do

About the internship

Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer Master's machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.

As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.

Responsibilities

Develop and deploy large-scale machine learning systems that drive significant business value across various domains.
Engage in the end-to-end process of designing, training, improving, and launching machine learning models.
Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.
Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.
Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.

Who you are

Minimum requirements

A deep understanding of computer science, obtained through the pursuit of a Master's degree in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2027 or spring/summer 2028.
Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.
Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.
A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.
Intent to return to the degree-program after the completion of the internship/co-op.

Preferred qualifications

You Might Also Have:

Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.
Published and presented peer-reviewed articles in top-tier venues.
Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.
Familiarity with navigating new codebases and managing work across different programming languages.
Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.

Application requirements

Please submit the following with your application:

A detailed resume or LinkedIn profile showcasing your work history.
Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.

Join us for an unforgettable summer internship and help shape the future of global commerce. At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.

Apply About employer

More about this job

Responsibilities

Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving, and launching production-scale machine learning models.

Requirements

Candidates must be currently pursuing a Master's degree in Computer Science, Machine Learning, or a related field with an expected graduation in 2027 or 2028. Proficiency in Python, Scala, and machine learning libraries is required, along with practical experience in ML projects.

Skills

Python
Scala
Spark
Pandas
NumPy
Scikit-learn
Machine Learning
Supervised Learning
Unsupervised Learning
ML Operations
Large Language Models
Reinforcement Learning
Data Science
Computer Science
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
Python
Scala
Spark
Pandas
NumPy
Scikit-learn
Supervised Learning
Unsupervised Learning
ML Operations
Large Language Models
Reinforcement Learning
Financial Infrastructure
Fraud Detection
User Behavior Prediction
Stripe Assistant
Stripe Foundation Model
Computer Science
Software Development
Internship
Data Analysis
Production-scale
Algorithms
Model Deployment

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