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Research Assistant Machine Learning Jobs in Waterloo, ON

Six Nations Polytechnic

Shop Assistant

Brantford, ON · On-site

CA$20.79 - CA$24.36/hr

The position contributes to a safe, efficient, and high-quality learning environment by supporting ... Completion of introductory studies in industrial skilled trades such as welding or machining is ...

Six Nations Polytechnic

Shop Assistant

Brantford, ON · On-site

The position contributes to a safe, efficient, and high-quality learning environment by supporting ... Completion of introductory studies in industrial skilled trades such as welding or machining is ...

Six Nations Polytechnic

Shop Assistant

Brantford, ON

CA$20.79 - CA$24.36/hr

The position contributes to a safe, efficient, and high-quality learning environment by supporting ... Completion of introductory studies in industrial skilled trades such as welding or machining is ...

Sonova

Software Developer

Kitchener, ON · Hybrid

CA$90K - CA$115K/yr

... Assist in ensuring the availability and performance of critical applications Contribute to the ... or machine learning, or data visualization tools such as Apache Superset is a plus Eagerness to ...

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All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Waterloo, ON

Research Assistant Machine Learning information

See Waterloo, ON salary details

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$32

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How much do research assistant machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for research assistant machine learning in Waterloo, ON is $32.47, according to ZipRecruiter salary data. Most workers in this role earn between $15.02 and $46.62 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Waterloo, ON? For Research Assistant Machine Learning jobs in Waterloo, ON, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Waterloo, ON look for? The top searched job categories for Research Assistant Machine Learning jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Research Assistant Machine Learning jobs? Cities near Waterloo, ON with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Waterloo, ON as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $67,532 per year, or $32.5 per hour.

Materials Science Engineer

Smarter Alloys

Cambridge, ON • On-site

Full-time

Medical, Dental

Re-posted 21 days ago

Job description

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 2-3 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

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