ZipRecruiter

Log In

1

Junior Machine Learning Engineer Jobs in Waterloo, ON

Magna

Machine Learning Engineer

Milton, ON

The Machine Learning Engineer will play a pivotal role in driving innovation and operational efficiency through data-driven solutions leveraging machine learning and artificial intelligence. You will ...

Linamar

Engineer- Programmer, Junior

Guelph, ON

Engineer - Program, Junior Job Summary Work as a trainee program engineer, under guidance of a ... Knowledge of SPC methods, process and machine capability requirements, blueprint reading and ...

Linamar

Junior - Process Engineer

Guelph, ON

Engineer - Process, Junior Job Summary Work as a trainee process engineer, under guidance of a ... Knowledge of SPC methods, process and machine capability requirements, blueprint reading and ...

Dialpad

Analytics Engineer

Kitchener, ON

Develop and deploy predictive machine learning models to enhance product experiences, forecast ... Work with analysts and engineers across the organization to establish best practices and improve ...

University of Guelph

AI Developer REPOST

Guelph, ON

CARE-AI is expanding its capacity to develop and deliver machine learning models, agents and ... The developer will engage with diverse stakeholders to translate business problems into technical ...

Dialpad

Analytics Engineer

Kitchener, ON

Develop and deploy predictive machine learning models to enhance product experiences, forecast ... Work with analysts and engineers across the organization to establish best practices and improve ...

Ag

Sr AI/ML Software Developer

Waterloo, ON · Hybrid

As a Senior AI/ML Software Developer, you will enhance core functionality-such as flight scheduling ... Independently own and drive the end-to-end Machine Learning lifecycle (MLOps), from model packaging ...

ATS Automation

Data Scientist

Cambridge, ON · On-site

CA$600/day

Education • A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial ...

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

next page

Showing results 1-20

All JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Waterloo, ON

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 Jun 16, 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 engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

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.

More about Junior Machine Learning Engineer jobs
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 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:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Waterloo, ON as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,098 per year, or $53.4 per hour.
Machine Learning Engineer

Machine Learning Engineer

Magna

Milton, ON

Full-time

Posted 13 days ago

Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market.

Job Responsibilities:

POSITION SUMMARY:

The Machine Learning Engineer will play a pivotal role in driving innovation and operational efficiency through data-driven solutions leveraging machine learning and artificial intelligence. You will be responsible for designing, developing, and deploying machine learning models that enhance product quality, optimize supply chain logistics, improve predictive maintenance, and support intelligent manufacturing processes. Working closely with cross-functional teams including engineering, IT, and operations, you will leverage large-scale data from manufacturing systems, sensors, and enterprise platforms to build scalable ML solutions. Your work will directly contribute to smarter decision-making, reduced downtime and improving quality.

MINIMUM JOB REQUIREMENTS:

  • University Degree in Computer Science, or related field of study which includes Ai and Machine Learning
  • Minimum 3 years related work experience in with minimum 2 years in an Engineering Role.
  • Experience withing the field of manufacturing
  • Proven capability and a sound understanding of engineering principles as applied to the following areas:
    • Machine Learning and AI
    • Advanced capability in multiple computer programming languages
    • Strong experience with relational databases

SKILLS AND COMPETENCIES:

  • Exceptional organizational, leadership, interpersonal and problem solving skills.
  • Excellent written, verbal communication and presentation skills
  • Proficient with Microsoft Office (Excel, Word, PowerPoint, MS Project and Outlook).
  • Excellent mathematical, analytical and organizational skills
  • Advanced capability in multiple computer programming languages, i.e. TypeScript, Rust, Python, C++ and/or Java
  • Machine Learning and AI modelling
  • Experience with the MQTT protocol
  • Solid understanding of IT and OT networks i.e. EthernetIP, ProfiNet, IO Link
  • Strong experience with relational databases, i.e. SQL Server, MySQL and Oracle. NoSQL databases experience is a plus.
  • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework.
  • Knowledge of common manufacturing systems (ERP, MES, QMS)
  • Familiarity with BI technologies, i.e. Grafana, Microsoft Power BI, AWS Quicksight, Qlikview
  • Prioritize multiple deadlines and tasks.
  • Results oriented

JOB RESPONSIBILITIES:

Execute ML / AI projects related to but not limited to the following

Advanced Vision Systems

Advanced autonomous part picking

Equipment performance machine learning and predictive maintenance

OEE Improvements

Cycle Time Improvements

Research and benchmark of new / existing smart factory ML solutions measures at other Magna plants or suppliers Identify how technical solutions apply to operational and business needs Understands and uses computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architectures. Uses exceptional mathematical skills, to perform computations and work with the algorithms involved in AI and Machine learning. Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production. Analyze large, complex datasets to extract insights and decide on the appropriate technique Develop and manage cloud-based computing and data management. Understand and work within KPIs, metrics, and other monitoring tools to monitor the operational performance of our factories Develop from-end UI's Report out to the divisional and Magna group level leadership on smart factory solutions initiatives, explaining technical concepts and analysis implications clearly to a wide audience Collaborate closely with IT, operations and engineering to reach operational excellence Manage suppliers and vendors and develop / control project deliverables. Deal with vendors - Excellent verbal and written communication skills are required. Collaborate other Machine learning Engineers within Magna as well as with your Regional Smart Factory Solutions lead Support colleagues in sourcing equipment and technology that improves the division's smart factory solutions performance

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Cosma International

Apply