Salary for Senior-level / Expert Machine Learning Engineer in Canada during 2023

Salary details

The average senior-level / expert 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 Senior-level / Expert Machine Learning Engineer roles

The three most common job tag items assiciated with senior-level / expert 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 | 1268 jobs Python | 1050 jobs Engineering | 998 jobs ML models | 747 jobs Computer Science | 735 jobs PyTorch | 611 jobs TensorFlow | 554 jobs Deep Learning | 528 jobs Research | 510 jobs Pipelines | 508 jobs AWS | 452 jobs NLP | 431 jobs Testing | 398 jobs Statistics | 398 jobs Architecture | 378 jobs Java | 361 jobs Spark | 322 jobs Mathematics | 317 jobs SQL | 311 jobs PhD | 306 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Machine Learning Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert 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 2023 and the number of open jobs that where offering them during that period:

Career development | 1072 jobs Health care | 562 jobs Equity / stock options | 499 jobs Flex hours | 465 jobs Flex vacation | 407 jobs Salary bonus | 390 jobs Startup environment | 345 jobs Parental leave | 321 jobs Competitive pay | 283 jobs Medical leave | 268 jobs Insurance | 267 jobs Team events | 250 jobs Wellness | 209 jobs 401(k) matching | 160 jobs Home office stipend | 149 jobs Unlimited paid time off | 82 jobs Signing bonus | 74 jobs Flexible spending account | 72 jobs Conferences | 64 jobs Relocation support | 61 jobs

Salary Composition for Senior-Level Machine Learning Engineers

The salary for a Senior Machine Learning Engineer 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. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. In larger tech companies or startups, equity or stock options can be a significant part of the compensation, offering long-term financial benefits. The composition can vary by region, with tech hubs like Toronto or Vancouver potentially offering higher salaries due to the cost of living and demand for talent. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or smaller startups.

Steps to Increase Salary Further

To increase your salary beyond the current median, consider the following strategies:

• Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or computer vision, which are in high demand.
• Leadership Roles: Transition into roles that involve leading teams or projects, such as a Machine Learning Manager or Director of AI.
• Networking: Engage with professional networks and communities to learn about higher-paying opportunities and industry trends.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML through courses, workshops, and conferences.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher compensation during job offers or performance reviews.

Educational Requirements

Most senior-level machine learning positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles in research-intensive environments or academia. The educational background should provide 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 commitment to the field. Some valuable certifications include:

• 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, a senior-level machine learning engineer is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects, mentoring junior engineers, and collaborating with cross-functional teams is also highly valued. A proven track record of successful machine learning projects and contributions to the field can significantly bolster your candidacy.

Related salaries

Want to contribute?