Machine Learning Engineer Salary in Canada during 2023

Salary details

The average Machine Learning Engineer salary lies between USD 133,700 and USD 216,600 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Machine Learning Engineer roles

The three most common job tag items assiciated with Machine Learning Engineer job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Machine Learning | 1793 jobs Python | 1481 jobs Engineering | 1356 jobs Computer Science | 1038 jobs ML models | 1017 jobs PyTorch | 853 jobs TensorFlow | 782 jobs Research | 749 jobs Deep Learning | 730 jobs Pipelines | 703 jobs AWS | 651 jobs NLP | 610 jobs Statistics | 559 jobs Testing | 539 jobs Architecture | 529 jobs Mathematics | 462 jobs Java | 462 jobs SQL | 449 jobs Spark | 423 jobs GCP | 418 jobs

Top 20 Job Perks/Benefits for Machine Learning Engineer roles

The three most common job benefits and perks assiciated with Machine Learning Engineer job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 1495 jobs Health care | 752 jobs Flex hours | 644 jobs Equity / stock options | 631 jobs Startup environment | 531 jobs Flex vacation | 524 jobs Salary bonus | 479 jobs Competitive pay | 419 jobs Team events | 401 jobs Parental leave | 391 jobs Insurance | 339 jobs Medical leave | 322 jobs Wellness | 256 jobs 401(k) matching | 195 jobs Home office stipend | 176 jobs Conferences | 134 jobs Unlimited paid time off | 118 jobs Relocation support | 92 jobs Signing bonus | 84 jobs Flexible spending account | 83 jobs

Salary Composition for Machine Learning Engineers in Canada

The salary for a Machine Learning Engineer in Canada typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company and industry. For instance, tech giants and financial institutions often offer performance-based bonuses that can be a substantial part of the total compensation. Additional remuneration might include stock options, especially in tech startups or large tech companies, and benefits such as health insurance, retirement plans, and paid time off. The composition can also vary by region, with cities like Toronto and Vancouver generally offering higher salaries due to the higher cost of living and demand for tech talent.

Steps to Increase Salary from a Machine Learning Engineer Position

To increase your salary from a Machine Learning Engineer position, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand and can command higher salaries.
• Pursue Advanced Education: Obtaining a master's or Ph.D. in a related field can open up opportunities for higher-level positions and salary increases.
• Gain Leadership Experience: Transitioning into roles that involve leading teams or projects can significantly boost your earning potential.
• Negotiate Effectively: Develop strong negotiation skills to ensure you are maximizing your compensation during job offers or performance reviews.
• Network and Build a Strong Professional Brand: Engage with the AI/ML community through conferences, publications, and online platforms to increase your visibility and attract lucrative opportunities.

Educational Requirements for Machine Learning Engineers

Most Machine Learning Engineer positions require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, many employers prefer candidates with a master's degree or Ph.D. in machine learning, data science, or artificial intelligence. These advanced degrees provide a deeper understanding of complex algorithms and data analysis techniques, which are crucial for developing sophisticated machine learning models.

Helpful Certifications for Machine Learning Engineers

While not always required, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models on Google Cloud.
• AWS Certified Machine Learning – Specialty: Demonstrates your expertise in building, training, tuning, and deploying machine learning models on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure services to build and deploy AI solutions.
• TensorFlow Developer Certificate: Shows proficiency in using TensorFlow to build and train machine learning models.

Experience Requirements for Machine Learning Engineers

Typically, employers look for candidates with at least 2-5 years of experience in machine learning or a related field. This experience should include hands-on work with machine learning algorithms, data analysis, and software development. Experience with specific tools and frameworks, such as TensorFlow, PyTorch, or scikit-learn, is often required. Additionally, experience in deploying machine learning models in production environments is highly valued.

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