1

Machine Learning Assistant Jobs in Toronto, ON (NOW HIRING)

Senior Machine Learning Engineer

Toronto, ON · On-site

CA$105K - CA$125K/yr

... assist with data-related technical issues and support their data infrastructure needs. - Create ... The role of a machine learning professional involves applying machine learning techniques and ...

... machine learning * Assist with interpretation of simulation and field data as well as developing test work programs * Assist with preparation of engineering documents and calculations, such as mass ...

... machine learning * Assist with interpretation of simulation and field data as well as developing test work programs * Assist with preparation of engineering documents and calculations, such as mass ...

Cloud/AI Platform Engineer

Toronto, ON · On-site

CA$70K - CA$150K/yr

Develop tools, APIs, and services that improve developer productivity and platform reliability. * Assist in deploying, monitoring, and scaling AI models and machine learning pipelines. * Collaborate ...

next page

Showing results 1-20

Machine Learning Assistant information

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

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

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in Toronto, ON?

The most popular types of Machine Learning jobs in Toronto, ON are:

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

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

Infographic showing various Machine Learning Assistant job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning - Master-Level Internship

Vosyn

Etobicoke, ON • On-site, Remote

$32/hr

Full-time

Re-posted 2 days ago


Key responsibilities

  • Assist in designing and implementing machine learning algorithms and models.

  • Collaborate with data scientists to preprocess and analyze data for model training.

  • Participate in the deployment of machine learning solutions into production environments.


Job description

Job Title: Machine Learning - Master-Level Internship

Level: Master's Level Internship

Department: Software Development

Duration: 520 Hours (approximately 3 months)

Work location: Remote (with hybrid options in Toronto)

Compensation: Hourly ($32)

The Vosyn internship is unique. Remuneration is equivalent to $32.00 CAD per hour payable in common shares of the Corporation at the then fair market value. For greater clarity, NO cash in-hand (in hourly rate or salary) will be paid to the Intern. Instead, Vosyn being an AI start-up, the upside is in potential future value of said shares based on the hours worked, billed and approved.

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 a talented and motivated Machine Learning Intern to join our team. This role is ideal for a Master's level student passionate about applying machine learning techniques to solve real-world problems. As a Machine Learning Intern, you will work closely with our data scientists and engineers to develop, train, and deploy machine learning models that drive our technology forward.

Key Responsibilities:

  • Assist in designing and implementing machine learning algorithms and models.
  • Collaborate with data scientists to preprocess and analyze data for model training.
  • Evaluate model performance and refine algorithms to improve accuracy and efficiency.
  • Participate in the deployment of machine learning solutions into production environments.
  • Conduct experiments and document findings to support decision-making processes.
  • Stay current with the latest advancements in machine learning and AI technologies.

About You:

  • Currently enrolled or recently graduated from a Master's program in Computer Science, Data Science, Machine Learning, or a related field. Master's program enrollment or completion is mandatory.
  • Strong understanding of machine learning concepts and algorithms.
  • Experience with programming languages such as Python or R.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Knowledge of data preprocessing and analysis techniques.
  • Excellent analytical and problem-solving skills.
  • Ability to work both independently and collaboratively within a team.
  • Effective communication skills, both written and verbal.

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 that only candidates who apply through our website will be contacted.

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.


Apply Now:
Vosyn Careers

Employment Type: FULL_TIME