Salary for Senior-level / Expert Machine Learning Developer in Canada during 2024

Salary details

The average senior-level / expert Machine Learning Developer salary lies between USD 128,300 and USD 203,000 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. 15, 2024

Top 20 Job Tags for Senior-level / Expert Machine Learning Developer roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Developer 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 | 49 jobs Python | 44 jobs Engineering | 40 jobs ML models | 31 jobs Research | 26 jobs PyTorch | 25 jobs AWS | 25 jobs TensorFlow | 22 jobs Testing | 22 jobs Architecture | 22 jobs Deep Learning | 21 jobs Computer Science | 18 jobs Scikit-learn | 14 jobs Data analysis | 14 jobs Pipelines | 13 jobs Spark | 12 jobs NLP | 11 jobs Kubernetes | 11 jobs Security | 11 jobs Statistics | 11 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Developer 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 | 37 jobs Health care | 19 jobs Flex hours | 15 jobs Competitive pay | 13 jobs Flex vacation | 11 jobs Equity / stock options | 9 jobs Team events | 9 jobs Salary bonus | 9 jobs Parental leave | 8 jobs Medical leave | 7 jobs Startup environment | 5 jobs Insurance | 3 jobs Transparency | 2 jobs Snacks / Drinks | 2 jobs Home office stipend | 2 jobs 401(k) matching | 1 jobs Conferences | 1 jobs Flexible spending account | 1 jobs

Salary Composition

In Canada, the salary composition for a Senior-level or Expert Machine Learning Developer typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The fixed base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 10-20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can make up 5-15% of the total compensation. The exact composition can vary based on the region, with tech hubs like Toronto and Vancouver offering more competitive packages, and the industry, with finance and tech sectors typically offering higher bonuses and equity options.

Increasing Salary Further

To increase your salary beyond the median level, consider pursuing leadership roles such as Machine Learning Architect or Head of AI/ML. These positions often come with higher compensation due to increased responsibilities. Additionally, specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable. Networking within the industry and attending conferences can also open up opportunities for higher-paying roles. Finally, consider negotiating your salary by leveraging offers from other companies or demonstrating your impact on previous projects.

Educational Requirements

Most senior-level machine learning positions require at least a master's degree in a related field such as Computer Science, Data Science, or Statistics. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms. These educational qualifications provide a strong foundation in the theoretical aspects of machine learning and data analysis, which are crucial for tackling complex problems in the field.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise. 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 ability to build, train, and deploy machine learning models on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure services to build and deploy AI solutions.

These certifications can be particularly beneficial if you are working with specific cloud platforms.

Required Experience

Typically, a senior-level machine learning developer 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 or teams is also highly valued, as it demonstrates your ability to manage complex tasks and collaborate effectively with others.

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