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Machine Learning Intern Remote Jobs in Toronto, ON

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

YO AI Labs

Mental Health Expert - Remote

Toronto, ON · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

YO AI Labs

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

SGI

Data Scientist

Toronto, ON · On-site +1

CA$90K - CA$120K/yr

This role is eligible for in-office, hybrid, or remote work within the provinces where we operate ... Machine Learning/Predictive Modeling * Works with stakeholders throughout the organization to ...

New

YO AI Labs

Java Open Source Contributor

Toronto, ON · Remote

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Toronto, ON

Machine Learning Intern Remote information

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

What are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What are popular job titles related to Machine Learning Intern Remote jobs in Toronto, ON?

For Machine Learning Intern Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern Remote jobs in Toronto, ON look for?

The top searched job categories for Machine Learning Intern Remote jobs in Toronto, ON are:

Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution.

Lead Data Scientist- IBM Watson

Toronto, ON • Remote

Fusemachines
Software Development • 51 - 200 employees
Learn more about Fusemachinesexternal

Contractor

Re-posted 8 days ago

Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Full-time, Remote

About the Role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

Responsibilities
  • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
  • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
 Requirements for the Role
  • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI.
  • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments.
  • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX
  • Agentic AI Tools: Experience with LangGraph, Google ADK or similar.
  • Agentic Architectures : Experience with advanced RAG & multi-agent systems.
  • Programming: Strong programming skills in languages such as Python, R, C++, and SQL.
  • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow.
  • Leadership: Experience leading data science teams and managing multiple projects simultaneously.
Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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