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Machine Learning Research Intern Jobs in Ontario

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in Computer Science with a strong background in machine learning required.

Redhat

Machine Learning Engineer

Toronto, ON · On-site +1

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... If you are someone who enjoys bridging research and production, optimizing large models, and ...

Td

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/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 ...

Manifold Bio

CA$140K - CA$225K/yr

Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize ...

Machina Labs

Machine Learning Engineer

Chatsworth, ON

CA$160K - CA$190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... This is a hands-on role for someone who thrives at the intersection of research and production ...

Magna

Machine Learning Engineer

Milton, ON · On-site

The Machine Learning Engineer will play a pivotal role in driving innovation and operational ... Research and benchmark of new / existing smart factory ML solutions measures at other Magna plants ...

Redhat

Senior Machine Learning Engineer

Toronto, ON · On-site +1

As a Machine Learning Engineer focused on model optimization algorithms, you will work closely with ... If you are someone who enjoys bridging research and production, optimizing large models, and ...

Clearway

CA$70K - CA$80K/yr

The Machine Learning Developerwill report directly to the Manager, Research and Strategic Data Analysis. Location:Clearway's Head Office - Maple, ON. Hours of Operations:8:00 am to 5:00 pm As a heavy ...

Clearway

Machine Learning Developer

Maple, ON · On-site

The Machine Learning Developerwill report directly to the Manager, Research and Strategic Data Analysis. Location:Clearway's Head Office Maple, ON. Hours of Operations:8:00 am to 5:00 pm As a heavy ...

Clearway

CA$70K - CA$80K/yr

The Machine Learning Developerwill report directly to the Manager, Research and Strategic Data Analysis. Location:Clearway's Head Office - Maple, ON. Hours of Operations:8:00 am to 5:00 pm As a heavy ...

Autodesk

Machine Learning Ops Developer

Toronto, ON · On-site

You will collaborate with research and product engineering from various domains including design ... Design and implement automated deployment pipelines for machine learning models, ensuring seamless ...

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Ontario

Machine Learning Research Intern information

See Ontario salary details

$19K

$121.8K

$222.5K

How much do machine learning research intern jobs pay per year?

As of Jun 16, 2026, the average yearly pay for machine learning research intern in Ontario is $121,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $172,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Research Intern, and why are they important?

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 Ontario? For Machine Learning Research Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Intern jobs in Ontario look for? The top searched job categories for Machine Learning Research Intern jobs in Ontario are:
What cities in Ontario are hiring for Machine Learning Research Intern jobs? Cities in Ontario with the most Machine Learning Research Intern job openings:
Machine Learning Research Intern jobs near you

Machine Learning Engineer

NTENT

Toronto, ON • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

Machine Learning Engineer
Position: Full time
Location: Toronto, Ontario (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.

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