AI Engineer Salary in Canada during 2024

Salary details

The average AI Engineer salary lies between USD 107,730 and USD 171,210 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. 24, 2024

Top 20 Job Tags for AI Engineer roles

The three most common job tag items assiciated with AI Engineer job listings are Python, Machine Learning and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Python | 1179 jobs Machine Learning | 1153 jobs Engineering | 1106 jobs Computer Science | 799 jobs LLMs | 712 jobs Generative AI | 606 jobs Research | 594 jobs NLP | 565 jobs AWS | 561 jobs PyTorch | 539 jobs Azure | 534 jobs Architecture | 513 jobs TensorFlow | 499 jobs Deep Learning | 464 jobs Pipelines | 441 jobs ML models | 380 jobs GCP | 355 jobs Security | 351 jobs Agile | 351 jobs APIs | 337 jobs

Top 20 Job Perks/Benefits for AI Engineer roles

The three most common job benefits and perks assiciated with AI 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 2024 and the number of open jobs that where offering them during that period:

Career development | 1050 jobs Health care | 472 jobs Flex hours | 409 jobs Startup environment | 312 jobs Competitive pay | 287 jobs Equity / stock options | 280 jobs Team events | 195 jobs Flex vacation | 190 jobs Parental leave | 168 jobs Insurance | 164 jobs Salary bonus | 157 jobs Medical leave | 149 jobs Wellness | 135 jobs 401(k) matching | 131 jobs Conferences | 78 jobs Fitness / gym | 62 jobs Transparency | 60 jobs Home office stipend | 49 jobs Relocation support | 48 jobs Gear | 44 jobs

Salary Composition for AI Engineer Roles in Canada

The salary for an AI 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’s performance, individual performance, and industry standards. In tech hubs like Toronto or Vancouver, bonuses might be more substantial due to the competitive nature of the industry. Additional remuneration can include stock options, especially in startups or large tech companies, and benefits such as health insurance, retirement plans, and professional development allowances. Larger companies might offer more comprehensive benefits packages, while startups might compensate with equity options.

Steps to Increase Salary from an AI Engineer Position

To increase your salary from an AI Engineer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in AI or related fields can open up higher-paying opportunities.
• Leadership Roles: Transitioning into roles such as AI team lead or project manager can increase your earning potential.
• Networking: Engage with professional networks and communities to learn about higher-paying opportunities and industry trends.
• Certifications: Obtain advanced certifications that are recognized in the industry to validate your expertise.

Educational Requirements for AI Engineer Roles

Most AI Engineer positions require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex research and development tasks. These advanced degrees provide a deeper understanding of machine learning algorithms, data analysis, and statistical modeling, which are crucial for high-level AI work.

Helpful Certifications for AI Engineers

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field. Some valuable certifications include:

• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• IBM AI Engineering Professional Certificate
• AWS Certified Machine Learning – Specialty

These certifications can help you stand out in a competitive job market and may lead to better job opportunities and higher salaries.

Experience Requirements for AI Engineer Roles

Typically, AI Engineer roles require at least 2-5 years of experience in related fields such as software development, data analysis, or machine learning. Experience with programming languages like Python, R, or Java, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, are often essential. Experience in deploying machine learning models and working with large datasets is also highly valued.

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