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Machine Learning Intern Jobs in Ontario (NOW HIRING)

We are seeking a highly motivated and enthusiastic individual to join our team as an Intern. The successful candidate will have the opportunity to gain valuable experience and develop their skills in ...

Dream is looking for an Intern, Development Administration (4 month)! Dream Unlimited is always ... learning and innovation thrive. Join us and make a difference. Due to the high volume of ...

ITV Specialist Intern Rail Pass Type: Internship/Co-op (Full-time/Hybrid) Departure and Arrival Date (Start -End): September 2026 - August 2027 (12months, will also consider 16 months) Vacancy: 1 ...

... machine learning concepts, data labeling, or trafficclassification models, is considered an asset (but not required). * Previous Nokia intern or co-op experience. * Contribute to the design ...

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

... machines and systems of any size. We inspire our customers with intelligent components, tailored ... Learning and Development: We want you to reach your fullest potential, for both yourself and for ...

Showing results 21-40

Machine Learning Intern information

See Ontario salary details

$9

$47

$88

How much do machine learning intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for machine learning intern in Ontario is $47.13, according to ZipRecruiter salary data. Most workers in this role earn between $38.46 and $52.64 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Ontario?

The most popular types of Machine Learning jobs in Ontario are:

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

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

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

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

Infographic showing various Machine Learning Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 30% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,034 per year, or $47.1 per hour.

ESG & CSR Responsible AI - Master-Level Internship

Vosyn

Etobicoke, ON โ€ข On-site, Remote

$32/hr

Full-time

Re-posted 24 days ago


Job description

Job Title: ESG & CSR Responsible AI - Master-Level Internship

    Level: Master's Level Internship

    Department: ESG & CSR (Environmental, Social, and Governance) & (Corporate Social Responsibility)

    Duration: 520 Hours (approximately 3 months)

    Work location: Remote (with hybrid options in Toronto)

    Compensation: Hourly ($32)

    About Us: At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving language barriers and empowering users. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, truly a unicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.

    About the Role: We are seeking an inquisitive and principled ESG & CSR Responsible AI Intern to join our team. As an ESG & CSR Responsible AI Intern, you will develop and champion Vosyn's AI ethics principles, guidelines, and best practices to ensure that our AI development and deployment processes align with ethical standards. Your role will be pivotal in promoting transparency, accountability, and fairness in all AI decision-making processes. This immersive internship offers hands-on experience, collaboration with senior management, and the opportunity to work in a fast-paced, high-growth environment. While demanding, it promises to be a rewarding complement to your academic journey, equipping you with valuable skills and insights.

    Key Responsibilities:

    • Ethics Framework Development: Design and implement comprehensive AI ethics policies and guidelines to address key ethical challenges in AI development and deployment.
    • Risk Assessment: Identify and mitigate ethical risks in AI systems, ensuring compliance with regulatory and industry standards.
    • Collaboration: Partner with data scientists, engineers, and stakeholders to ensure that AI ethics principles are integrated into all stages of product development.
    • Transparency and Accountability: Promote transparency in AI algorithms and processes, ensuring explainability and accountability in AI decision-making.
    • Training and Advocacy: Educate internal teams on ethical AI principles, providing training and resources to enhance awareness and understanding.
    • Research and Trends: Stay informed about emerging trends, research, and regulatory developments in AI ethics to refine Vosyn's practices.
    • Ethics Audits: Conduct regular audits to evaluate the ethical implications of AI products and recommend improvements.

    About You:

    • Currently enrolled or recently graduated from a Master's in Ethics, Computer Science, Data Science, Philosophy, or a related field required; Master's or Ph.D. preferred. Master's program enrollment or completion is mandatory.
    • Experience in AI ethics, policy development, or a related field, with a strong understanding of AI technologies.
    • Expertise in ethical frameworks, AI governance, and responsible AI practices.
    • Strong analytical and problem-solving skills, with the ability to address complex ethical challenges.
    • Excellent communication skills for translating ethical principles into actionable policies.
    • Familiarity with global AI regulations and industry standards (e.g., EU AI Act, IEEE Standards).
    • Understanding of machine learning, data privacy, bias mitigation, and algorithmic transparency.
    • Passionate about ethical AI and committed to fostering innovation that prioritizes social good.
    • Ability to work both independently and collaboratively.
    • Strong problem-solving skills and attention to detail.
    • New graduates are encouraged to apply.

    We believe exceptional talent often emerges from diverse paths. If you possess a profound curiosity, a genuine passion for continuous personal and professional growth, and a strong desire to apply your unique abilities to create significant impact within our team, we strongly encourage you to apply-even if your background doesn't align perfectly with every single qualification.

    Why Join Us:

    • Be part of the invigorating journey of a start-up transitioning to an IPO.
    • Engage directly with senior management and strategic advisory board members.
    • Enhance your CV with a rich array of experiences unique to Vosyn and AI Venture Lab.
    • Gain hands-on experience contributing to projects that drive growth and make a lasting impact in a fast-paced startup environment.

    DEI and Workplace Safety:

    At Vosyn Inc., we are committed to fostering a diverse, equitable, and inclusive workplace where every employee feels valued and supported. We believe that diversity of thought, background, and experience enriches our company culture and enhances innovation. We are an equal-opportunity employer and encourage candidates from all walks of life to apply. As part of our commitment to creating a safe and healthy work environment, we prioritize workplace safety, adhering to all relevant regulations and promoting a culture of responsibility. We believe that a safe and inclusive workplace is essential for the well-being and success of our team members. Join us in building a workplace that values diversity, prioritizes equity, and ensures the safety and well-being of every individual.

    Recruitment Process:

    1. Application Submission: Candidates are invited to submit their resumes and cover letters through our career portal.
    2. Written Questionnaire: Selected candidates will receive a set of 10 written questions to assess their fit and technical knowledge..
    3. Video Questionnaire: Candidates who successfully pass the written assessment will be asked to answer 10 additional questions to be submitted in a video format to further evaluate their skills and cultural fit. The ability to video record your answers will be required.
    4. Evaluation: Our team will review the responses to both questionnaires. Candidates who meet our criteria will be invited to the next stage.
    5. Orientation Session: Successful candidates will be invited to participate in an orientation session where they will learn more about Vosyn, our projects, and what to expect during the internship. After this session, you will be given the opportunity to opt-in if you believe that this internship is for you.

    Please note: At Vosyn, we hire on a rolling basis, so we encourage you to apply as soon as possible. While we operate with flexibility, we also cater to academic semester work terms to align with school schedules, ensuring a smooth transition for students joining us.

    Be a part of a fast-growing global organization that values diversity of thought, experience, and culture. Our interns come from top universities worldwide, and we invite you to contribute, learn, and grow with us on this exciting journey.

    Please note that only candidates who apply through our website will be considered for the role.

    Apply Now:
    Vosyn Careers


    Employment Type: FULL_TIME