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Junior Machine Learning Engineer Jobs in Waterloo, ON

Kitchener, Ontario - Hybrid Senior Software Developer Join Sonova's Manufacturing Software team and ... machine learning, or data visualization tools such as Apache Superset is a plus Precise, self ...

... ongoing learning and professional development * Input to the career development of junior staff ... Bachelor's degree or higher in civil engineering. * Proven expertise in municipal infrastructure ...

Civil Engineer

Guelph, ON

CA$75K - CA$120K/yr

We are currently seeking a Civil Engineer to join our Linear Municipal Infrastructure team. Our ... ongoing learning and professional development * Input to the career development of junior staff ...

Generally responsible for the design and programming of complete lines or stand-alone machines May guide and monitor the work of other more junior engineers and technical staff working within the ...

Transportation Engineer

Guelph, ON · On-site

CA$100K - CA$150K/yr

... and ongoing learning and professional development. * Input to the career development of junior ... A degree in civil engineering, transportation engineering, or urban planning. * A minimum of 10 ...

Showing results 41-60

Junior Machine Learning Engineer information

See Waterloo, ON salary details

$24.2K

$111.1K

$193.5K

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

As of Aug 8, 2026, the average yearly pay for junior machine learning engineer in Waterloo, ON is $111,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,378.00 and $138,921.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

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 are popular job titles related to Junior Machine Learning Engineer jobs in Waterloo, ON? For Junior Machine Learning Engineer jobs in Waterloo, ON, the most frequently searched job titles are:
What cities near Waterloo, ON are hiring for Junior Machine Learning Engineer jobs? Cities near Waterloo, ON with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Waterloo, ON as of August 2026, with employment types broken down into 87% Full Time, and 13% Nights. Highlights an 100% In-person job distribution, with an average salary of $111,098 per year, or $53.4 per hour.

Senior Software Developer

Sonova

Kitchener, ON • Hybrid

Full-time

Retirement

Posted 5 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

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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