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Startup Machine Learning Intern Jobs in Toronto, ON

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 ...

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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.

Principal Associate Data Scientist, Machine Learning

Capital One

Toronto, ON • On-site

Full-time

Re-posted yesterday

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 174 rated banks

Job description

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Principal Associate Data Scientist, Machine Learning

About Capital One Canada.

For 30 years, we've been on a mission to change banking for good. We challenge the traditional bank stereotype, fostering a culture where innovation thrives and bold ideas are celebrated.

We're driven by what's possible, leveraging the power of data and technology to empower innovative solutions, inspire one another to dream boldly, and take transformative ownership of decisions and outcomes that directly impact millions of Canadians. Every challenge is an opportunity to lead from the front, working together toward a shared vision that extends far beyond banking.

We balance high-performance with investment in your long-term success, ensuring you have the support you need to do your best work. Here, you'll take full accountability for your path, upskilling through hands-on experience and mentorship, to turn your curiosity into a career built on your own terms.

Are you ready to redefine what's next?

About the Team

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 100 company and a leader in the world of data-driven decision-making.

About the Role

As a Machine Learning Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to build cutting edge models and unlock the big opportunities that help everyday people save money, time, and agony in their financial lives.


Your Responsibilities:

On any given day, you could be:

  • Writing software to extract, clean, and investigate large, messy data sets of numerical and textual data

  • Building, deploying, and maintaining machine learning models (Gradient Boosting Machines, Neural Networks, etc.) from development, validation, through to deployment in production

  • Developing and optimization model development pipelines that enable rapid experimentation and optimization

  • Designing and analyzing experiments to optimize business strategies

  • Investigating the impact of new technologies, data sources, and methodologies in order to remain on the cutting edge of data science.

The Ideal Candidate will be:

  • Curious: You ask why, you explore, you're not afraid to share your disruptive ideas. You know Python and are constantly exploring new open source tools, and hitting up AI agents on a regular basis.

  • A Wrangler: You know how to programmatically extract data from various databases and APIs, bring it through a transformation or two, and leverage it to improve your model's accuracy.

  • Creative: Big, undefined problems and petabytes of data don't frighten you. You're used to working with abstract data, and you love discovering new narratives in unmined territories.

  • Proactive: You want to share your knowledge with your peers and contribute back to inner/open source projects which you might consume.

  • An Expert: You have superpowers you can't wait to share. You have expertise in key aspects of model development, model deployment, or inference such that you are the go-to person in those areas.

  • An Emerging Leader: You feel comfortable running point on big, complex projects. You know how to motivate others and bring them along your journey. You can paint a compelling picture of your recommendations and manage the message toward both technical and non-technical audiences.

Basic Qualifications:

  • At least 3 years of experience in open source programming languages for modeling (Python or R)

  • At least 3 years of experience with version control system like GitHub

  • At least 3 years of experience with machine learning or predictive modeling (H2O, XGBoost, TensorFlow, etc...)

  • At least 3 years of experience with SQL

Preferred Qualifications:

  • Bachelor's Degree in a quantitative field or Master's Degree or PhD

  • Experience working with AWS (EC2, S3, Lambda, RDS, etc.)

  • Experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching)

  • Experience writing unit tests and integrating with CICD tools (Jenkins, CircleCI, etc.)

  • Experience with experimental design

  • AI agent power user

  • At least 5 years' experience in Python or R

  • At least 5 years' experience with machine learning / predictive modeling (H2O, XGBoost, TensorFlow, etc.)

  • At least 5 years' experience with SQL

  • Experience with financial data

Working at Capital One.

You'll be empowered to take end-to-end ownership of your work and your career, backed by a high-performance, hybrid culture and holistic suite of benefits designed to support your whole self.

  • Take ownership of your own potential: Whether you're looking to upskill, pivot into new business areas, or master your craft, you'll have access to tools and mentorship to reach your potential and define your career trajectory.

  • Find your rhythm: We believe trust fosters the flexibility and autonomy required to balance personal needs with a focus on high performance. We support a hybrid model - with 3 days in the office per week - that gives room for both collaboration and personal commitments.

  • Benefits built for your life: We take a holistic approach to well-being, providing support for you and those who are most important to you. This includes: full coverage for spouses, domestic partners and dependents, a one-time Work From Home allowance to build your comfortable workspace, up to $3,000 in mental health coverage and up to $5,000 in annual tuition subsidies.

You'll find that Capital One is committed to helping you thrive and evolve every step of the way.

his posting is for an existing vacancy.

The expected annual salary range for this position is $148,120 to $169,050 This role is also eligible to earn performance-based incentive compensation, which may include cash bonus(es). Incentives could be discretionary or non-discretionary depending on the plan.

Weembrace the responsible use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. However, no hiring decisions are made using AI as every hiring decision is made by our hiring managers, business interviewers, and recruitment professionals. Our teams are equipped with training that empowers them to use AI responsibly.

Capital One Canada is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We consider all qualified applicants and will meet the needs of those requiring reasonable accommodations.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ARCanada@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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