ZipRecruiter

Log In

1

Machine Learning Engineer New Grad Jobs in Ontario

Fullscript

Staff, Machine Learning Engineer

Toronto, ON · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... We grow together, take on new challenges, and focus on impact. We put people first, work as a team ...

Fullscript

Staff, Machine Learning Engineer

Ottawa, ON · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... We grow together, take on new challenges, and focus on impact. We put people first, work as a team ...

Workday

Senior Machine Learning Engineer

Toronto, ON · On-site

Experience: 7+ years of industry experience in software engineering with a strong focus on applied machine learning, deep learning, or NLP. * Programming Mastery: Expert-level proficiency in Python ...

Thri5 Inc.

AI / Machine Learning Engineer

Toronto, ON · On-site

Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that powers our System of Actions. You'll design and implement multi-agent Co-pilot systems that orchestrate ...

Clearway

CA$70K - CA$80K/yr

The Machine Learning Developer is responsible for the design, training and optimization of machine learning models for research and production, ensuring they are scalable, accurate, and reliable.

next page

Showing results 1-20

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Ontario

Machine Learning Engineer New Grad information

See Ontario salary details

$26.5K

$109.4K

$202.5K

How much do machine learning engineer new grad jobs pay per year?

As of Jun 29, 2026, the average yearly pay for machine learning engineer new grad in Ontario is $109,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Ontario? For Machine Learning Engineer New Grad jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Ontario look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Ontario are:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Ontario as of June 2026, with employment types broken down into 3% As Needed, 74% Full Time, 10% Part Time, and 13% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $109,405 per year, or $52.6 per hour.
Associate, Software Engineer, New Grad Card Expansion

Associate, Software Engineer, New Grad Card Expansion

Capital One

Toronto, ON

Full-time

Posted 2 days ago

Key responsibilities

  • Work as part of a dynamic team throughout the software development life cycle.

  • Collaborate with designers and analysts to implement enhancements or new applications.

  • Develop code to meet story acceptance criteria.

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 142 frontline employees who took The Breakroom Quiz

67th of 142 rated banks

Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Associate, Software Engineer, New Grad Card Expansion

MUST INCLUDE YOUR RESUME AND UNOFFICIAL TRANSCRIPT IN ONE PDF DOCUMENT IN THE ATTACHMENT SECTION WHEN YOU CREATE YOUR PROFILE TO APPLY.

About Capital One Canada

For 30 years, we've been on a mission to change banking for good and build relationships by making credit accessible, simple, intuitive and rewarding. We want to help Canadians succeed with credit, because we believe in people - in our customers, in our associates, and in talent like you!

About the Team

Yes, we're a credit card company. But we're more than that too. We're driven by what our customers want, and how to make their lives simpler.

We're always looking for creative ways to offer digital solutions that make sense for our customers. With your help, we'll build the next generation of banking in Canada based on customer-focused values, compelling products and great engineering.

About the Role

Our environment is creative, filled with teams that are passionate about the work they're doing and the people they are doing it for. We're a technology thought leader in the financial industry and we want to keep it that way.

We have a passion for open-source and for working with the latest technologies. Whether you're a big Apple fan or an Android lover, a UI developer or prefer NoSQL databases over anything else, you'll fit in our team. All you need is to be passionate about technology!

Below are some of the skills the team is looking for, but you're not expected to have them all. Curiosity and willingness to learn are what matter most.

  • IDE: Android Studio, XCode, Visual Studio Code, IntelliJ

  • Language: Kotlin, Swift, Javascript, Typescript, GoLang, NodeJS

  • AWS: S3, EC2, Lambda, Route53, Security Groups, IAM roles

  • Monitoring Tool: Splunk, New Relic, Cloudwatch

  • Testing Framework: MockitoJUnitRunner, Espresso, XCTest

Our Associates are involved in business critical projects. Here are some examples.

  • Improve user experience for Android / iOS customers

  • Develop CI/CD pipelines to AWS cloud environment

  • Remediate and enhance cyber security

  • Create front end applications with React and Angular.

  • Develop backend Microservice applications and APIs

Think it. Code it.

This is our motto! By that, we mean that you, as a member of one of our great Agile teams will be responsible for the design, coding, testing and delivery of solutions that benefit our customers and Canadians in general.

Continuous Learning

We're here to help you develop your knowledge and skills, both on the job and in the classroom. Our engineers have access to incredible continuous learning tools and courses through our very own Tech College, a world-class learning hub that offers both online and in-person classes for across multiple disciplines-Cloud Computing, Cyber Security, Mobile Development, Machine Learning & AI, to name a few.

As a new Software Engineer, you'll join the Tech Development Program (TDP), which takes place over your first year with us and involves hands-on learning, development, and networking. Throughout your time in the program you could tackle front-end, back-end, full-stack, mobile development, or maybe even all of them.

Your Responsibilities:

  • Work as part of a dynamic team throughout the software development life cycle

  • Collaborate with designers and analysts to implement enhancements or new applications

  • Develop code to meet story acceptance criteria

  • Conduct design and code reviews to ensure high-level quality output

  • Ensure adherence to continuous improvement practices as required to meet quality, and time to market imperatives

  • Maintain records to document program development, and revisions

  • Provide third-level support of software solution as needed


Basic Qualifications:

  • Have obtained a Bachelor's degree or higher between September 2025 to September 2026

  • Good communication, presentation, and writing skills

  • Good understanding of testing fundamentals

  • Experience in unix or linux operating systems

  • Able to work within a team setting and actively participate and collaborate in team discussions


Preferred Qualifications:

  • Experience in front end development such as JavaScript, HTML, mobile, frameworks such as React, Vue, Angular

  • Knowledge of programming languages, including but not limited to Java, Python, JavaScript, NodeJS, Kotlin.

  • Experience with Jenkins CI/CD, microservices, API design / integration

  • Experience with version control technology i.e. Git

  • Experience in a Linux/Unix environment with strong coding background.

Working at Capital One.

Enjoy a hybrid work environment, with 3 days in the office. Build a comfortable workspace with our one-time, Work From Home allowance and enjoy our head office located conveniently across the street from Union Station.

Live well-physically, financially and emotionally. Receive support for you and those who are most important to you, with full coverage for spouses, domestic partners, and dependents. With up to $3000 in mental health coverage and up to $5000 in tuition subsidies per year-and much more-you'll discover that Capital One is committed to helping you live your best life.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

This posting is for an existing vacancy.

The expected annual salary for this position is $100,000. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non discretionary depending on the plan.

Weembrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

We may use your information for automated decision making. We may, for certain purposes, render a decision based exclusively on automated processing of your personal information as a part of the candidate screening process.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply