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Research Assistant Machine Learning Jobs in Waterloo, ON

Sonova

Senior Software Developer

Kitchener, ON · Hybrid

... machine learning, or data visualization tools such as Apache Superset is a plus Precise, self ... We utilize AI to assist with resume screening; however, all selection, interviewing, and hiring ...

Lotlinx

Technical Operations Specialist

Guelph, ON · On-site

CA$73K - CA$85K/yr

Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in ... Communicate effectively with key 3rd party technology partners. * Assist with the development and ...

Lotlinx

Technical Operations Specialist

Kitchener, ON · On-site

CA$73K - CA$85K/yr

Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in ... Communicate effectively with key 3rd party technology partners. * Assist with the development and ...

Teledyne

Analog Mixed -Signal IC Designer

Waterloo, ON · On-site

CA$93K - CA$124K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image ... A workplace that values diversity, learning, and innovation. What happens next Apply online-our ...

Syntronic

Lead Software Developer (AOSP)

Waterloo, ON · On-site

CA$140K - CA$170K/yr

Knowledge of Machine Learning and experience using AI tools in the development process ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Research Assistant Machine Learning information

See Waterloo, ON salary details

$9

$32

$83

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.

Senior Software Developer

Sonova

Kitchener, ON • Hybrid

Full-time

Retirement

Posted 7 days ago

Sonova rating

6.8

Company rating: 6.8 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Kitchener, Ontario - Hybrid

Senior Software Developer

Join Sonova's Manufacturing Software team and help develop the sophisticated solutions that power our production while enabling data-driven decisions for complex manufacturing challenges, delivering high-quality products to our customers.


As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.


Responsibilities:

Develop, maintain, and support solutions for data analysis and production
Ensure the availability and performance of critical solutions
Contribute into architectural design of state-of-the-art solutions using the latest technologies
Deliver reliable, scalable solutions that meet Sonova's code-quality requirements and follow established software architecture
Perform exploratory data analysis and reporting
Create and maintain technical documentation and procedures in accordance with internal SOPs and applicable external requirements
Advance continuous improvement by fostering knowledge sharing, engineering excellence, and team growth

More about you:

Bachelor's or master's degree in Computer Science, Software Engineering, or a related field
At least five years of professional software development experience
Strong experience with data engineering technologies, including ETL pipelines, Python, SQL, and relational databases
Strong experience with microservices and event-driven architectures; experience with C# is a plus
Solid understanding of software architecture and design principles, including SOLID
Experience with modern software development tools and practices, including Git, Docker, CI/CD, GenAI, Jira, and Confluence
Experience with Databricks, AI or machine learning, or data visualization tools such as Apache Superset is a plus
Precise, self-driven, and quality-focused approach to work
Excellent written and verbal communication skills in English


Don't meet all the criteria? If you're willing to go all in and learn, we'd love to hear from you!

We are looking forward to receiving your application via our online job application platform. For this position, only direct applications will be considered. Sonova does not recruit via app, Telegram, carrier pigeon, or any other format that does not include speaking with an actual human. If you are offered a job without speaking with someone, please contact Sonova HR. We utilize AI to assist with resume screening; however, all selection, interviewing, and hiring decisions are made by our internal recruitment team.

What we offer:

  • Exciting and challenging work environment

  • Collaborative culture

  • Opportunities for continuous self-improvement

  • Flexible hybrid work environment

  • A company that values diversity and inclusion

  • Rich benefits plan, including a wellness benefit and paramedical coverage for services such as massage therapy and naturopathy

  • Competitive compensation, including a variable component and employer-matched pension contributions

  • Mentorship programs and career-development plans

How we work:

At Sonova, we prioritize the well-being of our employees and foster an inclusive environment that promotes engagement and collaboration. Our team-customized hybrid work model empowers teams to balance individual needs with business goals, offering flexibility and individualized time management. We recognize the importance of life outside of work and strive to create a supportive and motivating workplace where innovation thrives.

What Sonova employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Sonova

Sourced by ZipRecruiter

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Aurora, IL, US

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