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New Grad Machine Learning Jobs in Ontario (NOW HIRING)

Combined Metal Industries

NEW GRAD - Operations Leadership Trainee Greater Toronto Area, ON, Canada Posted Thursday, August ... Learning the ins and outs of our recycling and manufacturing operations, including hand on ...

New

Stripe

Machine Learning Engineer

Toronto, ON · On-site

... new business opportunities. Our mission is to increase the GDP of the internet, and we have a ... What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities ...

OpenTable

Staff Machine Learning Engineer

Toronto, ON · Hybrid

As a Staff Machine Learning Engineer , you will set the technical direction for how OpenTable ... Experience introducing new tooling or platform capability to a team and driving adoption. Tech ...

New

OpenTable

Staff Machine Learning Engineer

Toronto, ON · On-site

As a Staff Machine Learning Engineer ,you will set the technical direction for how OpenTable builds ... Experience introducing new tooling or platform capability to a team and driving adoption. We do not ...

New

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science ...

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Ontario

New Grad Machine Learning information

What is a new grad machine learning?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.

What skills and qualifications are needed to thrive as a new grad machine learning?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What challenges do new graduates face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are popular job titles related to New Grad Machine Learning jobs in Ontario?

For New Grad Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching New Grad Machine Learning jobs in Ontario look for?

The top searched job categories for New Grad Machine Learning jobs in Ontario are:

What cities in Ontario are hiring for New Grad Machine Learning jobs?

Cities in Ontario with the most New Grad Machine Learning job openings:

New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Short Term 2027 Machine Learning/Artificial Intelligence Intern/Co-Op

Thornhill, ON • Hybrid

Advanced Micro Devices, Inc
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Advanced Micro Devices, Incexternal

Full-time, Internship

Posted 12 days ago

Key responsibilities

  • Participate in research and development of machine learning and AI features for next-generation products.

  • Analyze and implement changes to algorithms to improve AI performance and user experience.

  • Support AI software teams with project work such as source code analysis, image corruption detection, and deployment of machine learning-based products.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. 

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. 

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

 

JOB DETAILS:

Location: Markham, Ontario, Canada

Onsite/Hybrid: This role requires the student to work full time 37.5 hrs a week, either in a hybrid or onsite work structure throughout the duration of the co-op/intern term.

Winter Duration:

  • 4 Months: January 11, 2027 to April 23, 2027
  • 8 Months: January 11, 2027 to August 20, 2027

Summer Duration:

  • 4 Months: May 3, 2027 to August 20, 2027
  • 8 Months: May 3, 2027 to December 10, 2027

Fall Duration:

  • 4 Months: September 13, 2027 to December 10, 2027

WHAT YOU WILL BE DOING:

We are seeking highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role –

  • We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute.
  • We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
  • We may assign you to one or more of the following project work -
    • Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection.
    • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products
    • Fixing and addressing problems with deployed AI to improve user experience
    • Support AI software teams with roadmap planning, collateral development, and customer engagements

WHO WE ARE LOOKING FOR:

  • Currently enrolled in a Canada based University in a Bachelor's degree program majoring in Computer Science, Computer Engineering, Data Science/Analytics, or a related field, preferably in your 3rd or 4th year of education.
  • If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –
    • Machine learning, data science, computer vision, statistics, and mathematics
    • Programming in Python, C/C++
    • Relational (SQL) and no-SQL databases.
    • Machine learning algorithms and frameworks
    • Deep learning / AI framework like Pytorch, Tensorflow, Caffe, etc.
    • Familiarity with cloud (e.g., AWS, GCP, Azure) is a plus

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: UNAVAILABLE

What Advanced Micro Devices employees say

Pay

Benefits

Hours and flexibility

Workplace

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