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Machine Learning Developer Intern 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 ...

Dialpad

Analytics Engineer

Kitchener, ON · On-site

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 ...

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 ...

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 ...

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Machine Learning Developer Intern information

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Waterloo, ON are hiring for Machine Learning Developer Intern jobs? Cities near Waterloo, ON with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
Machine Learning Engineer

Machine Learning Engineer

Magna

Milton, ON

Full-time

Posted 6 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

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