Machine Learning Engineer Salary in Canada during 2024

Salary details

The average Machine Learning Engineer salary lies between USD 120,000 and USD 200,000 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 2024 and the number of open jobs that where associated with them during that period:

Machine Learning | 5378 jobs Python | 4232 jobs Engineering | 4009 jobs Computer Science | 3345 jobs ML models | 2895 jobs PyTorch | 2754 jobs TensorFlow | 2539 jobs Research | 2164 jobs Deep Learning | 2157 jobs Pipelines | 2094 jobs AWS | 1888 jobs NLP | 1839 jobs Statistics | 1726 jobs LLMs | 1697 jobs Architecture | 1583 jobs Testing | 1380 jobs Spark | 1281 jobs SQL | 1239 jobs Mathematics | 1192 jobs PhD | 1166 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 Equity / stock options. 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 | 4690 jobs Health care | 2710 jobs Equity / stock options | 2219 jobs Flex hours | 1604 jobs Flex vacation | 1571 jobs Startup environment | 1399 jobs Parental leave | 1352 jobs Competitive pay | 1310 jobs Salary bonus | 1293 jobs Medical leave | 1271 jobs Insurance | 1226 jobs Team events | 958 jobs 401(k) matching | 871 jobs Conferences | 654 jobs Flexible spending account | 593 jobs Wellness | 542 jobs Home office stipend | 432 jobs Transparency | 292 jobs Relocation support | 254 jobs Unlimited paid time off | 173 jobs

Salary Composition for Machine Learning Engineers in Canada

The salary for a Machine Learning Engineer in Canada typically comprises a base salary, performance 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. Performance bonuses can vary significantly depending on the company’s policies and the individual’s performance. Additional remuneration might include stock options, especially in tech companies, and benefits like health insurance, retirement plans, and paid time off.

The composition can vary based on several factors: - Region: Salaries in major tech hubs like Toronto or Vancouver might be higher due to the cost of living and demand for tech talent. - Industry: Industries such as finance or healthcare may offer higher bonuses compared to academia or non-profits. - Company Size: Larger companies or well-funded startups might offer more competitive packages, including stock options, compared to smaller firms.

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. - Pursue Advanced Education: Obtaining a master's or Ph.D. in a relevant field can open up higher-paying opportunities. - Gain Leadership Experience: Transitioning into roles like a team lead or manager can significantly increase your earning potential. - Negotiate Effectively: Always negotiate your salary and benefits when starting a new job or during performance reviews. - Switch Companies: Sometimes, moving to a new company can result in a substantial salary increase, especially if you have gained significant experience and skills.

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. Advanced degrees often provide a deeper understanding of complex algorithms and data structures, which are crucial for developing sophisticated machine learning models.

Helpful Certifications for Machine Learning Engineers

While not always required, certain certifications can enhance your resume and demonstrate your expertise: - Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models. - AWS Certified Machine Learning – Specialty: Demonstrates your skills in building, training, and deploying ML models on AWS. - Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure services to build AI solutions. - TensorFlow Developer Certificate: Shows proficiency in using TensorFlow for machine learning tasks.

Experience Required for Machine Learning Engineers

Typically, employers look for candidates with 2-5 years of experience in machine learning or related fields. This experience should include hands-on work with machine learning algorithms, data analysis, and software development. Experience with programming languages such as Python or R, and familiarity with machine learning frameworks like TensorFlow or PyTorch, is often required. Additionally, experience in deploying machine learning models in production environments is highly valued.

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