Machine Learning Platform Engineer Salary in Canada during 2024

Salary details

The average 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: Dec. 22, 2024

Top 20 Job Tags for Machine Learning Platform Engineer roles

The three most common job tag items assiciated with 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 | 28 jobs Engineering | 22 jobs Python | 20 jobs Computer Science | 17 jobs Model training | 16 jobs Architecture | 13 jobs Java | 12 jobs Distributed Systems | 11 jobs Microservices | 10 jobs Deep Learning | 9 jobs Model deployment | 9 jobs E-commerce | 8 jobs Kubernetes | 7 jobs Security | 7 jobs ML models | 7 jobs Open Source | 6 jobs AWS | 6 jobs Banking | 6 jobs Azure | 6 jobs APIs | 6 jobs

Top 20 Job Perks/Benefits for Machine Learning Platform Engineer roles

The three most common job benefits and perks assiciated with 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 | 26 jobs Equity / stock options | 19 jobs Flex hours | 15 jobs Health care | 13 jobs Team events | 13 jobs Parental leave | 8 jobs Flex vacation | 8 jobs Wellness | 8 jobs Medical leave | 8 jobs Competitive pay | 7 jobs Insurance | 7 jobs Salary bonus | 7 jobs Flexible spending account | 6 jobs Signing bonus | 4 jobs 401(k) matching | 3 jobs Startup environment | 3 jobs Unlimited paid time off | 3 jobs Lunch / meals | 2 jobs Home office stipend | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Machine Learning Platform 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 success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and comprehensive benefits packages that cover health insurance, retirement plans, and other perks. The composition can vary based on the region, with tech hubs like Toronto and Vancouver offering higher salaries. Industry also plays a role; for instance, finance and tech sectors might offer more competitive packages compared to academia or non-profits. Larger companies often provide more structured and generous compensation packages compared to smaller firms or startups.

Increasing Salary

To increase your salary further from the position of a Machine Learning Platform Engineer, consider the following strategies:

• Skill Enhancement: Continuously update and expand your technical skills, particularly in emerging technologies and tools relevant to machine learning and data science.
• Leadership Roles: Aim for leadership or managerial positions, which typically come with higher pay.
• Industry Transition: Consider moving to industries that offer higher compensation, such as finance or tech giants.
• Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.
• Advanced Education: Pursue advanced degrees or certifications that can justify a higher salary.

Educational Requirements

Most Machine Learning Platform Engineer positions require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex problem-solving and research. These advanced degrees provide a deeper understanding of machine learning algorithms, data structures, and software engineering principles, which are crucial for the role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise. 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 validate your skills in specific platforms and tools, making you a more attractive candidate to potential employers.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in machine learning, data science, or software engineering roles. Experience with deploying machine learning models, working with cloud platforms, and developing scalable data pipelines is highly valued. Additionally, experience in collaborating with cross-functional teams and understanding business requirements is crucial for success in this role.

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