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Machine Learning Research Intern Jobs in Markham, ON

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications. We are looking for world-class engineers to tackle cutting-edge problems in Machine ...

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications. We are looking for world-class engineers to tackle cutting-edge problems in Machine ...

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how ... You'll partner closely with Product, Research, and Engineering leaders to set strategy, and you'll ...

This role blends applied machine learning, software engineering, and MLOps, with a strong focus on building robust, scalable systems rather than purely academic research. Responsibilities * Design ...

Posted today

Machine Learning Engineer

Toronto, ON · On-site

$120 - $160/hr

Job Title : Machine Learning Engineer Location : Sobeys COLAB Office (Toronto Downtown) Team ... In this role, you will develop and maintain end‑to‑end Agentic AI/ML solutions, research ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

Qualifications: - Bachelor's in computer science, engineering, machine learning, or a related technical discipline. - Experience working on applied research projects. - Passion for taking research ...

Research, develop and implement ML models and Search infrastructure for recommendation and ... Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ...

This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

This innovation supports the critical evolution from research applications to clinical deployment ... The ideal candidate will have deep expertise in Machine Learning and building generalizable ...

Showing results 41-60

Machine Learning Research Intern information

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What are popular job titles related to Machine Learning Research Intern jobs in Markham, ON? For Machine Learning Research Intern jobs in Markham, ON, the most frequently searched job titles are:
What cities near Markham, ON are hiring for Machine Learning Research Intern jobs? Cities near Markham, ON with the most Machine Learning Research Intern job openings:
Infographic showing various Machine Learning Research Intern job openings in Markham, ON as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer 3D Geometry/ Multi-Modal

Autodesk, Inc.

Toronto, ON • On-site

$99 - $145.20/hr

Other

Posted 13 days ago


Autodesk rating

9.1

Company rating: 9.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

25th of 243 rated software companies


Job description

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products. You will report to a research manager in the Research Engineering organization of Autodesk Research. This role can be based at either our offices in London, UK or Toronto, Canada. Working in a hybrid working model.

Responsibilities
  • Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
  • Support research through the construction of ML pipelines, prototypes, and reusable, testable code
  • Process data and analyze feature extractions
  • Analyze errors and provide solutions to problems
  • Present results to collaborators and leadership
Minimum Qualifications
  • BSc or MSc in Computer Science, or equivalent industry experience
  • 3+ years of machine learning experience
  • Experience scaling machine learning training and data pipelines
  • Experience with computational geometry and geometric methods including mesh or B-Rep models
  • Experience with version control, reproducibility, and deploying machine learning models
  • Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
  • Experience with cloud services and architectures (e.g. AWS, Azure)
  • Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray)
  • Excellent written documentation skills to document code, architectures, and experiments
Preferred Qualifications
  • Experience working with distributed systems
  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
Learn More About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all.

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $99,000 and $145,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all.

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What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982