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Junior Machine Learning Engineer Jobs in Quebec (NOW HIRING)

$126.40 - $158/hr

Senior Software Engineer II - Machine Learning Platform We are seeking a Senior Software Engineer ... junior engineers on the MLP team. Qualifications * 8+ years of professional ML development ...

As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players . You will join the Player ...

Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...

The ideal candidate will combine strong expertise in machine learning, statistical modeling ... Work closely with engineering teams to productionize models and analytical pipelines * Ensure ...

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... Support the development of new decision-making technologies leveraging advanced machine learning ...

Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning * Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake

$152.48 - $212.92/hr

Collaborate closely with data scientists and machine learning engineers to productionize advanced ... Mentor junior developers and provide guidance on coding standards, design practices, and ...

$126.40 - $158/hr

The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and ... growth of junior engineers on the MLP team. We'd love to hear from people with * 8+ years of ...

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Junior Machine Learning Engineer information

See Quebec salary details

$26K

$119.2K

$207.5K

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

As of Jul 23, 2026, the average yearly pay for junior machine learning engineer in Quebec is $119,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $149,000.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Quebec? The most popular types of Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Quebec? For Junior Machine Learning Engineer jobs in Quebec, the most frequently searched job titles are:
What cities in Quebec are hiring for Junior Machine Learning Engineer jobs? Cities in Quebec with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Quebec as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $119,158 per year, or $57.3 per hour.
Senior Software Engineer II

$126.40 - $158/hr

Other

Posted 25 days ago


Job description

Senior Software Engineer II – Machine Learning Platform

We are seeking a Senior Software Engineer II to design and implement secure, highly scalable, and high‑performance pipelines for the end‑to‑end lifecycle of ML models within SurveyMonkey’s Machine Learning Platform team (MLP).

As a key member, you will work at the intersection of Data Science and DevOps, building robust ML systems that support generative AI, NLP, and real‑time classification. You will report to the Senior Engineering Manager on the MLP Solutions team.

Key Responsibilities
  • Build and maintain robust ML systems using Python (Pandas/NumPy, PyTorch/transformers) to support efficient ML operations.
  • Design ML cloud infrastructure using AWS services, ensuring the platform is built for reuse, scalability, and high‑volume throughput.
  • Collaborate with application engineers to integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture.
  • Act as a consultant to internal feature teams, educating and influencing decisions regarding ML tooling and infrastructure.
  • Incorporate telemetry into the platform for complex failure mode analysis, ensuring real‑time reliability for millions of daily survey responses.
  • Serve as a technical leader and mentor, championing high standards in coding, documentation, and architectural best practices to foster the professional growth of junior engineers on the MLP team.
Qualifications
  • 8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS.
  • Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP.
  • Expert‑level Python skills and experience with high‑scale data processing (PySpark, etc.).
  • Comfortable with Unix/Linux systems and experienced in deploying end‑to‑end solutions for real‑time applications (spam detection, personalization, ranking).
  • Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.
Compensation

Base pay ranges from CAD $126,400.00 / year to $158,000.00 / year, plus potential bonuses and a comprehensive benefits package.

Work Arrangement

Hybrid: required to work on‑site in Ottawa up to one day per week. Remote work is otherwise possible.

EEO Statement

SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. Accommodations are available for applicants with disabilities.

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