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Internship Machine Learning Engineer Jobs in Hamilton, ON

Spaceium

AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

You will work at the intersection of machine learning and space systems, building AI capabilities ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

Geotab

Senior Network Engineering

Oakville, ON · On-site

CCNA, CCNP, Professional Cloud Network Engineer, associate cloud certification (GCP or AWS), Google Cloud Generative AI, or Google Cloud Professional Machine Learning Engineer If you got this far, we ...

TELUS

Staff Applied AI/ML Scientist

Ottawa, ON · On-site

Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras * Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices

Sonova

Software Developer

Kitchener, ON · Hybrid

CA$90K - CA$115K/yr

... internships and university projects are welcome) Knowledge of Python, SQL, relational databases ... or machine learning, or data visualization tools such as Apache Superset is a plus Eagerness to ...

Emterra Group

AI - Full Stack Engineer

Oakville, ON

$120K/yr

... Stack Engineer to join our IT team. In this role, you will lead the design, development, and ... Position Description AI & Machine Learning * Act as the internal SME for AI strategy, tooling ...

Dialpad

Applied Scientist

Kitchener, ON · On-site +1

Develop, implement, and refine state-of-the-art Natural Language Processing and Machine Learning ... Collaborate with cross-functional teams, including engineering, product, and design, to effectively ...

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Hamilton, ON

Internship Machine Learning Engineer information

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

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

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.
What are the most commonly searched types of Machine Learning Engineer jobs in Hamilton, ON? The most popular types of Machine Learning Engineer jobs in Hamilton, ON are:
What cities near Hamilton, ON are hiring for Internship Machine Learning Engineer jobs? Cities near Hamilton, ON with the most Internship Machine Learning Engineer job openings:
Internship Machine Learning Engineer jobs near you

AI Engineer

Spaceium

Ottawa, ON • On-site

CA$75K - CA$110K/yr

Full-time

Re-posted 26 days ago

Job description

At Spaceium, we are building spacecraft systems designed to push the boundaries of what's possible in orbit. As an AI Engineer, you will develop intelligent systems that enable autonomous decision-making, anomaly detection, and adaptive operations for our spacecraft. You will work at the intersection of machine learning and space systems, building AI capabilities that operate reliably in resource-constrained, high-stakes environments.

Responsibilities
  • Design and develop AI/ML models for spacecraft autonomy, anomaly detection, and predictive maintenance
  • Build data pipelines for training, evaluation, and deployment of models
  • Develop reinforcement learning or planning algorithms for autonomous on-orbit operations
  • Integrate AI systems with flight software and ground segment tools
  • Create simulation environments for training and validating AI models
  • Collaborate with software, systems, and operations engineers on AI-driven features
  • Research and prototype novel approaches to space-specific AI challenges
Basic Qualifications
  • Bachelor's degree in Computer Science, AI/ML, Mathematics, or a related field
  • Strong programming skills in Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow, or similar)
  • Understanding of statistics and mathematical foundations of ML
  • Experience with version control systems such as Git
What We're Looking For

We're building technology that hasn't been done before. Experience is helpful, but curiosity, drive, and the ability to learn quickly matter more. If you're excited about spacecraft, enjoy solving hard engineering problems, and want to help build something new, we encourage you to apply - whether you're early in your career or more experienced.

Preferred Skills
  • Creative problem solver with strong first-principles thinking, capable of assessing risk and making decisions with limited data.
  • Experience in a nimble, technical engineering role, with a scrappy, entrepreneurial approach to meeting tight time or budget constraints.
  • Experience deploying ML models on edge devices or resource-constrained platforms
  • Familiarity with reinforcement learning, planning, or decision systems
  • Knowledge of computer vision or sensor fusion techniques
  • Experience with MLOps, model monitoring, and continuous training pipelines
  • Understanding of spacecraft operations or autonomous systems
  • Excellent verbal and written communication skills, collaborative team player, and detail-oriented with a focus on quality.
Additional Requirements
  • Extended hours and weekend work may be required to support critical project and mission milestones.
  • This role requires a physical presence at the Ottawa facility.
Compensation
  • Salary: $75,000 - $110,000 CAD per year
  • Equity: 0.1% -0.5%

If you're excited about shaping the future of space systems, we'd love to hear from you.

Please submit any projects that you have worked on. 

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