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Machine Learning Engineer Intern Jobs in Waterloo, ON

Manulife

Data Scientist

Waterloo, ON · On-site

... machine learning use cases. * Productionize pipelines and datasets with monitoring, alerting, data quality checks, and performance tuning. * Collaborate with internal/external engineers and data ...

Jetson Home

Data & ML Engineer

Kitchener, ON

You'll gain experience applying data and machine learning to real-world control problems--where ... That context will make you a stronger engineer and a better decision-maker. * Shape our data and ML ...

Actalent

Senior Data Engineer/Analyst

Waterloo, ON · On-site

Data Science and Machine Learning Specialist Join a Connected Vehicle Analytics Data Team that ... Partner closely with vehicle embedded engineers, product owners, and technical product managers to ...

Syntronic

Senior Data Science Specialist

Waterloo, ON

CA$120K - CA$137K/yr

In this role, you will leverage advanced math, statistics, and machine learning to predict trends ... Data Engineering Optimization: Design efficient data loading, augmentation, and analysis techniques ...

BDO Canada

Senior Data Scientist, ASR

Kitchener, ON · On-site

CA$77K - CA$117K/yr

... machine learning models in a production environment. * Expertise in Python data science libraries like Pandas, matplotlib, NumPy, and Scikit-Learn. * Proficiency in programming languages such as ...

Linamar

Engineer - Project, Senior

Guelph, ON · On-site

... manufacturing and machining. Engage in continuous learning by attending formal professional ... engineering field. RESPONSIBILITIES: Plan and manage projects, and prepare material, cost and ...

Acceldata

Field Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

Summary As a Field Engineer Co-op at Acceldata, you'll be working hands-on with complex distributed ... WHY INTERN WITH US * Gain valuable experience at a fast-growing tech startup in Canada. * Work ...

Syntronic

Lead Software Developer (AOSP)

Waterloo, ON · On-site

CA$140K - CA$170K/yr

We are seeking a Lead Software Engineer to drive the design, development, and maintenance of ... Knowledge of Machine Learning and experience using AI tools in the development process.

Acceldata

Sales Engineering Co-Op

Kitchener, ON · On-site

CA$20 - CA$30/hr

Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales ... WHY INTERN WITH US * Gain valuable experience at a fast-growing tech startup in Canada. * Work on ...

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Showing results 1-20

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Waterloo, ON

Machine Learning Engineer Intern information

See Waterloo, ON salary details

$21.4K

$112.6K

$200.9K

How much do machine learning engineer intern jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer intern in Waterloo, ON is $112,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,002.00 and $152,907.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Waterloo, ON? The most popular types of Machine Learning Engineer jobs in Waterloo, ON are:
What job categories do people searching Machine Learning Engineer Intern jobs in Waterloo, ON look for? The top searched job categories for Machine Learning Engineer Intern jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Machine Learning Engineer Intern jobs? Cities near Waterloo, ON with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Waterloo, ON as of May 2026, with employment types broken down into 6% Internship, 61% Full Time, 24% Part Time, and 9% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution, with an average salary of $112,573 per year, or $54.1 per hour.

Materials Science Engineer

Smarter Alloys

Cambridge, ON • On-site

Full-time

Medical, Dental

Posted 18 days ago

Job description

Salary:

Materials Science Engineer

As our new Materials Science Engineer, your primary goal is to develop, characterize, and optimize the nickel-titanium shape memory alloys at the core of Smarter Alloys' product lines. You will work hands-on with advanced alloys and thermomechanical processing to understand how composition and processing parameters drive functional material behavior and apply that understanding to real products.

This role offers rare access to proprietary SMA processing technology and a direct line between your experimental work and commercial outcomes across medical, dental, cleantech, and industrial applications.

We are looking for someone with a strong background in metallic materials who can design and execute experiments, analyze results rigorously, and translate findings into process or product improvements. You will have real autonomy to drive projects while collaborating across R&D, production, and quality.


KEY RESPONSIBILITIES

  • Lead and support NiTi shape memory alloy R&D activities, including materials development, device testing, and process optimization
  • Perform materials characterization and testing using a range of techniques including optical microscopy, SEM, DSC, thermomechanical testing, tensile testing, hardness testing, and laser processing
  • Apply statistical methods to analyze and interpret experimental results
  • Develop deep working knowledge of Smarter Alloys' proprietary multi-memory processing technology and contribute to its continued development
  • Collaborate across R&D, production, and quality to support new product introduction and ongoing process improvement


REQUIRED QUALIFICATIONS

  • Bachelor's degree in Materials Science, Mechanical Engineering, or Biomedical Engineering
  • Minimum 23 years of experience in an R&D environment
  • Hands-on experience with materials characterization techniques
  • Solid understanding of physical metallurgy and materials engineering principles
  • Strong written and verbal communication of technical information


PREFERRED QUALIFICATIONS

  • Background in shape memory alloys or functional metallic materials
  • Experience with laser processing or advanced manufacturing techniques
  • Data-driven approach to project execution and process development
  • Experience working within a Quality Management System
  • Exposure to automation, machine learning, or materials informatics


WORKING WITH SMARTER ALLOYS

Smarter Alloys is a certified medical device manufacturer and smart materials innovator developing proprietary shape memory alloy technologies for applications in medical devices, dental, clean energy, automotive, and consumer products. We are a small, focused team doing technically differentiated work at the intersection of advanced materials science and precision manufacturing.

This is a full-time, permanent position based on-site at our Cambridge, ON facility. We offer a competitive salary commensurate with experience, full medical and dental benefits, a flexible schedule with core hours between 10:00 AM and 3:30 PM, and real opportunities for technical growth and career development.

We strive to build a team that reflects the diversity of the community we work in and encourage applications from women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI+, veterans, and people with disabilities.

Smarter Alloys | Cambridge, ON | www.smarteralloys.com