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Machine Learning Winter Internship Jobs in Toronto, ON

ShyftLabs

Associate AI Engineer

Toronto, ON · Hybrid

CA$60K - CA$80K/yr

Work with LLM APIs, machine learning models, and automation pipelines to support intelligent ... Internship, co-op, academic project, or personal project experience in software engineering, AI/ML ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... this internship will support revenue growth through prospecting, calls and emails to potential ...

New

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... this internship will support revenue growth through prospecting, calls and emails to potential ...

New

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopias AI-based workflows leverage the latest in machine learning and computer vision to extract ... this internship will support revenue growth through prospecting, calls and emails to potential ...

New

Royal Bank of Canada

Software Developer

Toronto, ON

... including internships, co-op placements, academic projects, or equivalent practical experience ... Interest in AI, machine learning, model serving, data platforms, or building software that enables ...

Waabi

Research Scientist, Neural Reconstruction

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... interns; foster a culture of scientific rigor and rapid experimentation. - Stay current with ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

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All JobsMachine Learning Winter JobsMachine Learning Winter Internship JobsMachine Learning Winter Internship Jobs in Toronto, ON

Machine Learning Winter Internship information

What types of projects and tasks can I expect to work on during a machine learning winter internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

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

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

What is the difference between Machine Learning Winter Internship vs Data Science Winter Internship?

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Toronto, ON? For Machine Learning Winter Internship jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Winter Internship jobs in Toronto, ON look for? The top searched job categories for Machine Learning Winter Internship jobs in Toronto, ON are:
Machine Learning Winter Internship jobs near you
Infographic showing various Machine Learning Winter Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Platform Engineer

The Canada Life Assurance Company

Toronto, ON • On-site

CA$80K - CA$95K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement

Posted 4 days ago

Job description

Permanent Full Time 

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Are you a Data Engineer professional with focus on platform administration and support and strong Leadership and Communication skills looking for a challenging and rewarding opportunity? Canada Data Team is looking for a Data Platform Engineer to join our team.

The Data Platform Engineer is responsible for providing data platform and tool solutions to support business needs at Canada Life. Leveraging your cloud and Microsoft Azure technical subject matter expertise, you will have the exciting opportunity to design, adapt, and maintain data platform solutions within a cloud environment. You will navigate and reconcile considerations for immediate and future platform needs, encompassing but not limited to scalability, maintainability, performance, accuracy, reliability, security, compliance, cost, and robustness, even in situations where the requirements may be unclear or evolving. You'll collaborate cross-functionally with Product Owners as well as developers, quality assurance, governance & support experts in Toronto and other offices. In this role, you will be part of an on-call rotation in order to service our customers.

What you will do:

  • Design and build highly scalable data platform solutions within a cloud environment.
  • Partner with our internal customers to understand their development pain points and craft platform solutions to address them.
  • Support the effort to build and enhance DevOps services, including platform monitoring, platform, and deployment support for the respective pipelines for data delivery.
  • Connectivity enablement for relevant models and their data sources.
  • Deliver appropriate Resource Access Permissions for respective use cases.
  • Provide technical mentorship to data platform engineers and interns on the team.
  • Help shape the long-term strategy and grow the team.

What you will bring:

  • A University or College education in Computer Science, Computer Engineering or a related field or equivalent combination of education and experience
  • 5+ years of experience building production data systems or platform components.
  • Strong coding skills in Python
  • Strong understanding of engineering and infrastructure best practices, general software development principles with a machine learning software development life-cycle orientation
  • Strong experience on Azure Machine Learning and AWS SageMaker, Azure Data Factory, Databricks administration and GitLab.
  • Experience managing the entire machine learning lifecycle.
  • Desirable experience on Azure Cognitive Services and AWS Rekognition.
  • Strong communication skills with an ability to motivate.
  • Customer focus and strong relationship management skills
  • Ability to quickly adapt to changing priorities and working within ambiguous situations.
  • Effective time management, prioritization, and decision-making skills

 

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The base salary for this position is between $80,700 - $95,700 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted. 

#LI-Hybrid 

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