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Startup Machine Learning Intern Jobs in Toronto, ON

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... The Role As a Business Development Intern, you will support our go to market efforts within the ...

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 ... The Role As a Business Development Intern, you will support our go to market efforts within the ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

CA$78/day

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

Career Renew

Senior ML Engineer

Toronto, ON · Remote

CA$78/day

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a ... You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ...

OpenSpace

Sr. Computer Vision Engineer

Toronto, ON · On-site

CA$168K - CA$220K/yr

Forbes has named OpenSpace one of America's Best Startup Employers five years in a row. Come see ... This role centers on advanced computer vision but integrates modern machine learning methodologies ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON · On-site

CA$60/hr

Qualifications: - Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software ...

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Good understanding of machine learning, natural language processing, and LLM fundamentals.

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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 Toronto, ON?

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

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

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

Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Business Development (Intern)

Ecopia Tech

Toronto, ON • Remote

Full-time, Internship

Posted 26 days ago

Job description

About Ecopia AI
Ecopia AI, is a technology company with the mission of digitizing the world using artificial intelligence through the creation of high-definition maps. Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract 2D and 3D features from remotely sensed high-resolution imagery (i.e. satellite, aerial, drone, street view, etc.). Ecopia has experience leveraging AI and geospatial data to create and maintain large-scale, highly accurate maps across 100+ countries around the world. Specifically, Ecopia has generated maps across over 50 million km2 around the world from fresh high-resolution satellite & aerial imagery. Ecopia is one of the fastest-growing technology companies in North America, continuously recognized with awards from leading organizations such as Deloitte, CNBC, and Geospatial World. Example clients include:

  • Federal Governments (including the US, United Kingdom, Canada, Australia, New Zealand);
  • State Governments (including Connecticut, California, Washington, Illinois, Alaska);
  • Local Governments (including Los Angeles, Seattle, Detroit, Toronto);
  • Large insurance companies (including 7 of the top 10 US P&C carriers); and
  • NGOs (including the Bill & Melinda Gates Foundation, the World Bank, and USAID)

We are expanding into a dedicated civil engineering vertical, and this internship will support revenue growth through prospecting, calls and emails to potential customers.


The Role
As a Business Development Intern, you will support our go to market efforts within the civil engineering space. This is hands on and client facing role designed for students pursuing a degree in business. Your responsibilities will involve outbound outreach, account research, and early-stage conversations with engineering firms. Your typical day will involve prospecting new companies and individual users and reaching out to them via cold calls, emails, LinkedIn, and others. You will work closely with senior team members to learn how data is positioned, pitched, and sold into real engineering workflows.

What You'll Do

  • Research and identify firms that align with Ecopia's data offerings
  • Support outbound outreach efforts through email, calls, and LinkedIn
  • Help initiate conversations with engineering firms and qualify early interest
  • Maintain accurate lead and activity tracking
  • Sit in on sales and discovery calls to understand customer needs and use cases
  • Help refine messaging tailored to civil engineering applications

What We're Looking For

  • Strong written and verbal communication skills
  • Comfortable with outreach, follow ups, rejection, and relationship building
  • Organized, self-motivated, and comfortable working toward clear goals and KPIs

What You'll Gain

  • Competitive salary with commission opportunity
  • Real world experience in technology based business development
  • Meaningful work from day 1 that directly impacts company revenue
  • Understanding on how new business verticals are developed and go-to-market strategies
  • Direct mentorship from experienced business development professionals
  • A strong foundation for careers in sales, consulting, engineering, or technology
  • Exposure to how infrastructure data supports engineering decisions

Apply