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Machine Learning Winter Internship Jobs in Toronto, ON

Waabi

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

Spiria

Lead Software Developer

Oakville, ON

CA$100/hr

... learning curve when learning new languages. In addition to actively participating in the ... Own the endtoend software architecture for machine HMI stacks, including Angularbased touchscreen ...

Homewood Health

Horticulturist, Grounds Keeper

Guelph, ON · On-site

CA$29.26/hr

... learning. As a Horticulturist, you will be an integral part of a collaborative team focused on ... Winter snow management, and make contact with additional snow removal staff or contractors * Winter ...

Colas

Mechanic (310T)

Scarborough, ON · On-site

CA$43 - CA$48/hr

... a well-oiled machine. During the winter months, our plows run 24/7, so willingness to remain ... Miller is proud to provide this unique career opportunity, we offer continuous learning ...

Nestle

Marketing Associate

North York, ON · Hybrid

Relevant internship, co-op, or up to 3 years of experience in Marketing, Sales, Sales Strategy ... Demonstrated learning agility and adaptability in a fast-paced environment. * Ability to work ...

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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.

Software Developer - Cloud Solutions

PulseLearning

Toronto, ON • Remote

CA$40 - CA$85/hr

Other

Posted 11 days ago

Job description

About PulseLearning

Established in 1999, PulseLearning is a world-class, award-winning provider of learning solutions supporting clients globally across all sectors.

We operate across the United States, United Kingdom, EMEA, Ireland, Canada, and Australia, delivering innovative, people-focused learning solutions that drive real impact.

Our team works collaboratively to design and develop learning experiences that inspire behavioral change and measurable results. At PulseLearning, we value creativity, collaboration, and continuous improvement. 


Role Overview

The Software Developer will be part of a team designing, building, and maintaining modern, cloud-based software solutions in collaboration with cross-functional teams and subject matter experts. The successful candidate will bring strong software engineering fundamentals, hands-on cloud experience, and a builder's mindset to deliver scalable, secure, and reliable systems.


Remote Work Term position, 3–9 months (duration set by client requirements) 

Full-time (40 hrs/week) and part-time (20 hrs/week) positions available ·


Key Responsibilities

  • Contribute to a team that develops or enhances, tests, and deploys scalable, secure, and cost-effective software solutions using cloud-native architectures and microservices
  • Contribute to a team that develops software using one or more modern programming languages such as Java, Python, TypeScript, Go, C#, C++, or Rust
  • Contribute to a team that designs and consume RESTful APIs and integration frameworks to enhance system interoperability
  • Contribute to a team that deploys and operate workloads on major cloud platforms, applying cloud services for compute, storage, databases, networking, serverless, and containers
  • Contribute to a team that defines and manages infrastructure as code and automated deployment pipelines (CI/CD)
  • Apply engineering best practices, including automation, unit and integration testing, code reviews, secure coding, and technical documentation
  • Work with both relational (SQL) and NoSQL database technologies, selecting the right data store for each workload
  • Leverage AI agents, generative AI, and AI-enabled developer tools to improve development productivity and code quality
  • Monitor, troubleshoot, and resolve production issues, contributing to operational excellence and continuous improvement
  • Collaborate with cross-functional stakeholders and subject matter experts to translate business requirements into technical solutions
  • Contribute to a team that manages multiple development activities concurrently while meeting project timelines and quality standards
  • Work effectively with remote and globally distributed teams across multiple time zones
  • Be current with cloud technologies, architectural patterns, AI-assisted development practices, and emerging industry trends


Qualifications

  • 3+ years of professional (non-internship) software development experience
  • 2+ years of experience with design or architecture of new and existing systems, including design patterns, reliability, and scaling
  • Strong proficiency in at least one modern programming language (e.g., Java, Python, TypeScript, Go, C#, C++, or Rust)
  • Solid computer science fundamentals, including data structures, algorithms, and object-oriented design principles
  • Hands-on experience building and operating solutions on a major public cloud platform; deep familiarity with AWS services and architecture best practices is strongly preferred
  • Experience with distributed systems, microservices, serverless architectures, and containerization (e.g., Docker, Kubernetes)
  • Experience with infrastructure as code (e.g., CloudFormation, CDK, or Terraform) and CI/CD tooling
  • Working knowledge of SQL and NoSQL database systems
  • Understanding of security best practices, including identity and access management, encryption, and secure API design
  • Experience using AI agents or AI-enabled tools within software development workflows
  • Experience delivering complex software systems successfully to customers
  • Strong written and verbal communication skills, with the ability to explain technical concepts clearly in English
  • Experience working with remote and geographically dispersed teams across multiple time zones
  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field, or equivalent practical experience
  • Cloud certifications (e.g., AWS Certified Developer, Solutions Architect, or DevOps Engineer) are considered an advantage or
  • Experience in machine learning, data engineering, building AI-enabled applications is desirable
  • Work flexible, Central time business hours 


Open to all remote work locations in Canada, USA, and Ireland. 


PulseLearning is an equal opportunity employer. We welcome applications from all qualified candidates. Accommodations are available on request for candidates taking part in any stage of the selection process. Please contact hr@pulselearning.com and we will work with you to meet your needs.