ZipRecruiter

Log In

1

Machine Learning Research Intern Jobs in Ontario

Socket.dev

$110 - $170/hr

The Product Operations machine learning team is seeking a machine learning research engineer to conduct research in anomaly detection and automated machine learning to address domain-specific ...

Trend Micro

Malware Research Intern

Toronto, ON

As a Malware Research Intern , you will be learning skills required for threat hunting, analysis of malware samples, and detection of malware communication. Responsibilities: * Perform threat hunting ...

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial ...

Trend Micro

Vulnerability Research Intern

Toronto, ON

Trend Micro Research Center is seeking a Vulnerability Research Intern to join our industry-leading ... A strong desire to learn, demonstrated through personal projects or self-directed learning * Strong ...

Tenstorrent

CA$100K - CA$500K/yr

The ML Models team sits at the intersection of cutting-edge AI research and high-performance hardware, bringing state-of-the-art machine learning models to life on Tenstorrent's custom AI ...

Quincus

Machine Learning Engineer

Toronto, ON · On-site

Quincus Research is building the next generation of intelligent systems for all Quincus products ... As a machine learning engineer, you will be responsible for designing and implementing scalable ...

Autodesk

You will work with researchers to build out novel applications for machine learning. When the time comes to move any feature into product, you will be a strong interface with product engineering to ...

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$110 - CA$145/hr

Review complex machine learning research for alignment with domain principles and methodologies. * Provide clear, structured feedback to AI research teams to improve training data quality and ...

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.

Mercor

ML Research Scientist - PhD

Toronto, ON · Remote

CA$60 - CA$100/hr

Review complex machine learning research for alignment with domain principles and methodologies. * Provide clear, structured feedback to AI research teams to improve training data quality and ...

next page

Showing results 1-20

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

Machine Learning Research Intern information

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 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 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
Infographic showing various Machine Learning Research Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Research Engineer

On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$110 - $170/hr

Other

Posted 28 days ago

Job description

The Product Operations machine learning team is seeking a machine learning research engineer to conduct research in anomaly detection and automated machine learning to address domain-specific challenges in manufacturing multi-modal data that includes time-series, graph, image and/or tabular data. Research engineers on our team drive projects from ideation to validation, with the goal of improving our core manufacturing ML capabilities. They support ML software engineers in translating successful approaches to production code, and train MLEs to apply them to factory use cases.

DESCRIPTION

The Apple Operations team ensures that ground breaking designs become industry-leading products. In this role you will join a small team at the heart of our manufacturing ML capabilities. Our R&D team is responsible for the core ML libraries that engineers use to train models for factory deployment. We improve core capabilities through applied research, with partners in academia and across Apple's research org.

MINIMUM QUALIFICATIONS
  • Expertise in independently designing and implementing ML experiments - establishing appropriate metrics, benchmarks, milestones, and communicating results to stakeholders with varying levels of technical background Ph.D. in Machine Learning from CS or ECE Publication record commensurate with seniority
PREFERRED QUALIFICATIONS
  • Track record of successful research and interest in one or more of the following: weakly- and semi-supervised machine learning, domain adaptation, data efficiency, knowledge distillation, imbalanced classification and regression, tabular foundation models, etc.
  • For new-grad applicants, at least one first author publication in top machine learning / data mining conferences including ICML, NeurIPS, ICLR, KDD, CIKM, ICDM, SDM, The Web Conference, etc.
  • Excellent communication and presentation skills
  • Demonstrable collaborative software development skills, including design review and code review
#J-18808-Ljbffr

Apply