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

Salary details

The average senior-level / expert Machine Learning Platform Engineer salary lies between USD 167,000 and USD 230,000 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

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

The three most common job tag items assiciated with senior-level / expert Machine Learning Platform Engineer job listings are Machine Learning, Engineering and Python. 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 | 21 jobs Engineering | 18 jobs Python | 15 jobs Model training | 15 jobs Computer Science | 13 jobs Architecture | 11 jobs Java | 10 jobs Model deployment | 9 jobs Microservices | 9 jobs Deep Learning | 8 jobs E-commerce | 8 jobs Security | 7 jobs Distributed Systems | 6 jobs Open Source | 5 jobs Kubernetes | 5 jobs Banking | 5 jobs Finance | 5 jobs Azure | 5 jobs ML models | 5 jobs Pipelines | 5 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Platform Engineer job listings are Career development, Equity / stock options 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 | 19 jobs Equity / stock options | 17 jobs Flex hours | 13 jobs Team events | 11 jobs Health care | 8 jobs Parental leave | 7 jobs Medical leave | 7 jobs Insurance | 7 jobs Flex vacation | 6 jobs Wellness | 5 jobs Competitive pay | 5 jobs Salary bonus | 5 jobs Flexible spending account | 5 jobs Signing bonus | 4 jobs 401(k) matching | 2 jobs Startup environment | 1 jobs Home office stipend | 1 jobs Unlimited paid time off | 1 jobs Fertility benefits | 1 jobs

Salary Composition

In Canada, the salary composition for a Senior-level or Expert Machine Learning Platform Engineer typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, might contribute around 10-15%. Additional remuneration, such as stock options, equity, or other benefits, can make up the remaining 5-15%. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech giants and startups in major cities like Toronto or Vancouver might offer more in terms of equity, while companies in other regions might focus more on base salary and bonuses.

Increasing Salary Further

To increase your salary further from this position, consider the following strategies:

• Specialization: Develop expertise in niche areas of machine learning or AI that are in high demand but have a limited supply of experts, such as reinforcement learning or AI ethics.
• Leadership Roles: Transition into leadership or managerial roles, such as a Machine Learning Team Lead or Director of AI, which typically come with higher compensation.
• Consulting: Offer your expertise as a consultant or advisor, which can provide additional income streams and increase your market value.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML, and consider pursuing advanced certifications or courses that can enhance your skill set.
• Networking: Engage with professional networks and communities to learn about new opportunities and negotiate better compensation packages.

Educational Requirements

Most Senior-level Machine Learning Platform Engineer positions require at least a bachelor's degree in a relevant field such as Computer Science, Data Science, Mathematics, or Engineering. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex problem-solving and research. Advanced degrees can provide a deeper understanding of machine learning algorithms, statistical methods, and data analysis techniques, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Certified Machine Learning Professional (CMLP)
• 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 a more attractive candidate for senior roles.

Required Experience

Typically, a Senior-level Machine Learning Platform 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 deploying machine learning models at scale, working with cloud platforms, and collaborating with cross-functional teams is also highly valued. Additionally, experience in leading projects or teams can be a significant advantage.

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