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Startup Machine Learning Intern Jobs in Ontario (NOW HIRING)

Bits In Glass

Intern

Toronto, ON · On-site +1

Intern Practice: AI Location: Remote/Hybrid Description As a ML Developer Intern you will work ... Prior experience in development of machine learning solutions, including NLP, Computer Vision ...

Thri5 Inc.

AI / Machine Learning Engineer

Toronto, ON · On-site

Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that ... Startup Mindset: Thrive in a fast-paced, ambiguous environment; able to bring structure to open ...

StackandCo

An interest in Machine Learning nice to have \n * Experience working in a startup would be an advantage \n * Experienced writing complex queries \n * An ambition to lead engineers would be nice to ...

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Startup Machine Learning Intern information

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

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

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

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

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

What are popular job titles related to Startup Machine Learning Intern jobs in Ontario?

For Startup Machine Learning Intern jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Intern jobs in Ontario look for?

The top searched job categories for Startup Machine Learning Intern jobs in Ontario are:

What cities in Ontario are hiring for Startup Machine Learning Intern jobs?

Cities in Ontario with the most Startup Machine Learning Intern job openings:

Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Intern

Bits In Glass

Toronto, ON • On-site, Remote

Internship

Posted 8 days ago

Job description

Classification: Intern

Practice: AI

Location: Remote/Hybrid

Description

As a ML Developer Intern you will work closely with the ML Developers and Senior ML Engineers to build AI/ML/GenAI solutions. You will be working with the team to develop innovative solutions in artificial intelligence to resolve concrete and complex business challenges. You will have an inquisitive and strategic mindset, always looking for the new but with an applied focus of solving business problems with technology solutions using an Agile approach. You will be customer oriented and a team player to keep up with BIG's long tradition of being a team of highly experienced professionals that customers love to work with because they feel like one of their own.

Responsibilities

  • Translate business needs into AI/ML and GenAI solutions
  • Build AI/ML models using accepted best practices
  • Keep up-to-date with the latest developments in AI/ML
  • Work with data engineers and assist in data acquisition, preparation and cleansing from various sources
  • Assess model performance and reliability and make tradeoffs against quality metrics
  • Prepare reports and presentations on results
  • Prepare data visualisation front-ends as required to communicate insights from the model
  • Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows

Qualifications

  • A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related
  • Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
  • Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
  • Eager to research and learn new topics and technologies
  • Nice to have knowledge
    • Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
    • Databricks
    • Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset

Apply