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

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

At least one publication in top Machine Learning, Computer Vision, or Robotics conferences ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Magna

Computer Vision Engineering Co-op

Toronto, ON · On-site

CA$24.50 - CA$28.50/hr

This role requires a basic understanding of computer vision and machine learning technologies ... to assist in the initial screening of applications submitted through our Workday system. These ...

Accenture

AI Architect, Manager

Toronto, ON · Remote

... clients. * Assist in delivery as AI SME, Solution Architect, or Technical Architect * Provide ... Experience with AI (algorithms, AI-on-chip, AI hardware accelerators), Machine Learning (frameworks ...

ArcelorMittal

AI Developer

Concord, ON · On-site

Conversational AI -- chatbots and tailored AI assistants (e.g., Claude, custom LLM deployments); * Machine Learning -- researching and evaluating emerging machine learning technologies, frameworks ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You are familiar with the internals of modern machine learning (diffusion models, vision ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Source Code

RQ11252 - Sr. AI Engineer

Toronto, ON

CA$90.18 - CA$108.22/hr

... Machine Learning solutions. * Hands-on experience implementing Generative AI and Large Language ... Experience designing, developing and optimizing prompts for conversational AI, virtual assistants ...

KPMG

Senior Consultant - AI Governance

Toronto, ON · On-site

... team. * Assist with the design and conduct training and information sessions with KPMG ... Understanding of machine learning algorithms and their implications for risk, including supervised ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Be encouraged to submit and publish work externally at top machine learning, computer vision, and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Canadiantirecorporation

Senior Data Scientist

Oakville, ON · On-site

CA$64K - CA$106K/yr

Research innovative new machine-learning tools and techniques, and assess for suitability for ... We may use artificial intelligence tools as part of our recruitment process to assist in the ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in Toronto, ON

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:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

2026 Intern, PhD Research Scientist

Toronto, ON

Waabi
See more jobs at Waabiexternal

CA$60/hr

Full-time, Internship

Re-posted 25 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
  • Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
  • Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
  • Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems.
  • Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.
 
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 engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
  • At least one publication in top Machine Learning, Computer Vision, or Robotics conferences.
  • Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
  • Proficient in reading and coding in Python and/or C++..
  • Open-minded and collaborative team player with willingness to help others.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Application Instructions:
  • To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
The US hourly range for this role is: $60 USD and the Canada hourly range for this role is: $60-$65 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. 

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
  • Daily drinks, snacks and catered meals (when in office)
  • Regularly scheduled team building activities and social events
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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