Machine Learning Scientist Salary in Canada during 2024

Salary details

The average Machine Learning Scientist salary lies between USD 130,000 and USD 180,000 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: Dec. 22, 2024

Top 20 Job Tags for Machine Learning Scientist roles

The three most common job tag items assiciated with Machine Learning Scientist 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 | 436 jobs Python | 341 jobs Engineering | 308 jobs Computer Science | 294 jobs Research | 278 jobs Statistics | 267 jobs ML models | 255 jobs Deep Learning | 248 jobs PyTorch | 248 jobs PhD | 219 jobs TensorFlow | 207 jobs Mathematics | 186 jobs SQL | 181 jobs NLP | 154 jobs LLMs | 128 jobs Scikit-learn | 127 jobs Security | 120 jobs AWS | 117 jobs Architecture | 108 jobs Pipelines | 108 jobs

Top 20 Job Perks/Benefits for Machine Learning Scientist roles

The three most common job benefits and perks assiciated with Machine Learning Scientist job listings are Career development, Health care and Wellness. 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 | 394 jobs Health care | 261 jobs Wellness | 147 jobs Equity / stock options | 133 jobs Flex hours | 133 jobs Competitive pay | 126 jobs Insurance | 121 jobs Conferences | 113 jobs Parental leave | 107 jobs Salary bonus | 106 jobs Flex vacation | 98 jobs Startup environment | 95 jobs Team events | 86 jobs Medical leave | 81 jobs 401(k) matching | 53 jobs Home office stipend | 32 jobs Relocation support | 26 jobs Gear | 25 jobs Travel | 22 jobs Fitness / gym | 22 jobs

Salary Composition for Machine Learning Scientists in Canada

The salary for a Machine Learning Scientist in Canada typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. 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 and individual achievements, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can significantly increase the total compensation, especially if the company performs well. The composition can vary by region, with tech hubs like Toronto and Vancouver offering higher salaries compared to other areas. Industry also plays a role; for instance, finance and tech sectors tend to offer more competitive packages compared to academia or smaller startups.

Steps to Increase Salary Further

To increase your salary beyond the median level, 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 Leadership Roles: Transition into roles that involve leading teams or projects, such as a Lead Data Scientist or AI Team Manager.
• Expand Your Skill Set: Learn complementary skills like data engineering, cloud computing, or software development to increase your versatility.
• Network and Build a Personal Brand: Attend industry conferences, publish research, and engage with the AI/ML community to enhance your visibility and reputation.
• Negotiate Effectively: When changing jobs or during performance reviews, negotiate for higher compensation based on your contributions and market research.

Educational Requirements

Most Machine Learning Scientist positions require at least a master's degree in a relevant field such as computer science, data science, statistics, or mathematics. A Ph.D. is often preferred, especially for research-intensive roles or positions in academia. The educational background should include a strong foundation in algorithms, data structures, probability, and statistics, as well as practical experience with machine learning frameworks and tools.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

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

These certifications can validate your skills in specific platforms and tools, making you more attractive to potential employers.

Required Experience

Typically, employers look for candidates with at least 3-5 years of experience in data science or machine learning roles. Experience should include hands-on work with machine learning models, data analysis, and software development. Experience in deploying machine learning models in production environments and working with large datasets is highly valued. Additionally, experience in a specific industry, such as finance, healthcare, or e-commerce, can be advantageous.

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