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New Grad Machine Learning Jobs in Waterloo, ON (NOW HIRING)

Magna

Machine Learning Engineer

Milton, ON · On-site

The Machine Learning Engineer will play a pivotal role in driving innovation and operational ... and benchmark of new / existing smart factory ML solutions measures at other Magna plants or ...

Ag

Sr AI/ML Software Developer

Waterloo, ON · Hybrid

Independently own and drive the end-to-end Machine Learning lifecycle (MLOps), from model packaging ... Propose and lead initiatives to identify, prototype, and implement new AI/ML opportunities that ...

Syntronic

Senior Data Science Specialist

Waterloo, ON

CA$120K - CA$137K/yr

Thrive in an entrepreneurial environment that supports new ideas. Explore multiple sectors like ... In this role, you will leverage advanced math, statistics, and machine learning to predict trends ...

BinSentry

Finance Analyst

Kitchener, ON · On-site

... new savings. Today, BinSentry is monitoring more than 50,000 bins in real time across North America ... AI and machine learning financial tools. Qualifications and Skills Education & Experience

BinSentry

Finance Analyst

Kitchener, ON · On-site

... new savings. Today, BinSentry is monitoring more than 50,000 bins in real time across North America ... AI and machine learning financial tools. Qualifications and Skills Education & Experience

Manulife

Lead Cybersecurity Architect

Waterloo, ON · Hybrid

Design and implement security frameworks for Machine Learning (ML), Generative AI (GenAI), and ... new applications and services. * Experience designing the deployment of applications and ...

Linamar

Buyer, Senior (Machining & Casting)

Guelph, ON · On-site

Focus will be on assigned machining and casting commodities supporting Current Production and/or ... Engage in continuous learning to keep up-to-date information on new products and market trends, and ...

Jetson Home

Data & ML Engineer

Kitchener, ON

At Jetson, we value people who are excellent at their craft, curious about new tools (including AI ... You'll gain experience applying data and machine learning to real-world control problems--where ...

Syntronic

Lead Software Developer (AOSP)

Waterloo, ON

CA$140K - CA$170K/yr

Thrive in an entrepreneurial environment that supports new ideas. Explore multiple sectors like ... Knowledge of Machine Learning and experience using AI tools in the development process.

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All JobsNew Grad Machine Learning JobsNew Grad Machine Learning Jobs in Waterloo, ON

New Grad Machine Learning information

What are some typical challenges new graduates might face when starting out in a machine learning role, and how can they overcome them?

New grad machine learning engineers often encounter challenges such as bridging the gap between academic knowledge and practical, production-level projects. Adapting to real-world data issues, collaborating with cross-functional teams, and understanding scalable deployment can be daunting at first. To overcome these, it's helpful to seek mentorship, proactively ask questions, and dedicate time to learning best practices in code versioning, model evaluation, and team communication. Engaging in code reviews and participating in team discussions can also accelerate the learning curve and foster professional growth.

What are the key skills and qualifications needed to thrive as a New Grad Machine Learning Engineer, and why are they important?

To thrive as a New Grad Machine Learning Engineer, you need a solid foundation in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, version control systems like Git, and coursework or certification in data science are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication skills help you collaborate and convey complex technical concepts to diverse teams. These skills and qualities are essential for developing innovative models, ensuring project success, and integrating seamlessly into fast-paced tech environments.

What is the difference between New Grad Machine Learning vs Data Scientist?

AspectNew Grad Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some internshipsBachelor's or Master's in CS, Statistics, or related; some experience
Work EnvironmentEntry-level, team-focused, research and developmentData analysis, modeling, cross-functional collaboration
Employer & Industry UsageTech companies, startups, research labsTech, finance, healthcare, consulting firms

New Grad Machine Learning roles typically focus on foundational skills, internships, and entry-level tasks, while Data Scientist positions often require more experience in data analysis and statistical modeling. Both roles are common in tech industries, but Data Scientists usually handle broader data analysis responsibilities.

What are 'New Grad Machine Learning' roles?

New Grad Machine Learning roles are entry-level positions designed for recent graduates who have studied machine learning, artificial intelligence, data science, or related fields. These positions typically involve working with experienced data scientists and engineers to develop, implement, and improve machine learning models and algorithms. New grads in these roles often contribute to projects involving data preprocessing, model training, evaluation, and deployment. The goal is to help new graduates gain hands-on experience and grow their skills in a real-world setting while contributing to the organization's AI initiatives.
What are popular job titles related to New Grad Machine Learning jobs in Waterloo, ON? For New Grad Machine Learning jobs in Waterloo, ON, the most frequently searched job titles are:
What job categories do people searching New Grad Machine Learning jobs in Waterloo, ON look for? The top searched job categories for New Grad Machine Learning jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for New Grad Machine Learning jobs? Cities near Waterloo, ON with the most New Grad Machine Learning job openings:
New Grad Machine Learning jobs near you
Infographic showing various New Grad Machine Learning job openings in Waterloo, ON as of June 2026, with employment types broken down into 85% Full Time, 2% Part Time, 12% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Magna

Milton, ON • On-site

Full-time

Posted 10 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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