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Machine Learning Engineer Intern Jobs in Montreal, QC

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to ...

AI scientist for Quantum Computing

Montreal, QC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Excellent scientific programming skills, particularly in Python and common machine-learning frameworks. * Experience taking research ideas from initial exploration to robust implementation.

AI scientist for Quantum Computing

Montreal, QC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Excellent scientific programming skills, particularly in Python and common machine-learning frameworks. * Experience taking research ideas from initial exploration to robust implementation.

Work with our machine learning engineers to put cutting edge deep learning algorithms in production. * Develop tools and contribute to open source wherever possible. * Adopt problem solving as a way ...

... Developer Position overview As a Senior ML Developer on the team, you will be responsible for ... Design and implement Machine Learning capabilities that improve Autodesk's RAG platforms * Perform ...

We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve ...

Sitting at the intersection of data engineering, data curation, and machine learning, you will own the end-to-end pipeline that transforms raw web-scale data into high-signal datasets used to train ...

Showing results 41-60

Machine Learning Engineer Intern information

See Montreal, QC salary details

$22.9K

$120.4K

$214.9K

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

As of Aug 19, 2026, the average yearly pay for machine learning engineer intern in Montreal, QC is $120,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,312.00 and $163,538.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Montreal, QC?

The most popular types of Machine Learning Engineer jobs in Montreal, QC are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Montreal, QC?

For Machine Learning Engineer Intern jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Montreal, QC look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Montreal, QC are:

Infographic showing various Machine Learning Engineer Intern job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $120,399 per year, or $57.9 per hour.

Senior Distributed ML Engineer

LawZero

Montreal, QC

Full-time

Medical, Retirement, PTO

Re-posted 21 days ago


Job description

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key Responsibilities
  • Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
  • Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
  • Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.
  • Establish, document, and maintain best practices for large-scale, distributed ML model development workflows.
Skills and Qualifications
  • A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master's or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience.
  • 3+ years of experience in designing and implementing distributed ML training frameworks, with recent experience using e.g. Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM,  and/or verl.
  • Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM).
  • Experience with GPU profiling tools (e.g. PyTorch profiler, PyProf, NVIDIA Nsight).
  • Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
  • Familiarity with data infrastructures and platforms (e.g., vector databases).
  • A track record of contributing to high-quality research projects in deep learning.

The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based on jurisdiction.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits (including mental health and wellness management account)
  • 20 days of vacation per year upon start
  • Employer contribution of 4% to your retirement savings, with no required employee matching
  • Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
  • A team of passionate world-class experts in their field
  • A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation