Salary for Mid-level / Intermediate Machine Learning Developer in Canada during 2024

Salary details

The average mid-level / intermediate Machine Learning Developer salary lies between USD 84,300 and USD 125,000 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 Mid-level / Intermediate Machine Learning Developer roles

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Developer job listings are Python, Machine Learning and ML models. 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:

Python | 21 jobs Machine Learning | 21 jobs ML models | 15 jobs Engineering | 14 jobs Computer Science | 12 jobs TensorFlow | 11 jobs AWS | 11 jobs Research | 11 jobs Statistics | 11 jobs PyTorch | 10 jobs Architecture | 10 jobs Scikit-learn | 8 jobs Testing | 8 jobs Pipelines | 8 jobs Deep Learning | 7 jobs GCP | 7 jobs Azure | 7 jobs LLMs | 7 jobs Git | 6 jobs Mathematics | 6 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Machine Learning Developer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Developer job listings are Career development, Competitive pay and Team events. 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 | 18 jobs Competitive pay | 6 jobs Team events | 4 jobs Health care | 3 jobs Gear | 2 jobs Startup environment | 2 jobs Insurance | 2 jobs Equity / stock options | 1 jobs Flex vacation | 1 jobs Transparency | 1 jobs Medical leave | 1 jobs Salary bonus | 1 jobs Flexible spending account | 1 jobs

Salary Composition for a Mid-level Machine Learning Developer

In Canada, the salary composition for a mid-level machine learning developer typically includes a base salary, performance bonuses, and sometimes additional remuneration such as stock options or profit-sharing. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s policies and individual performance metrics.

• Region: Salaries can vary by region, with major tech hubs like Toronto and Vancouver often offering higher compensation due to the higher cost of living and competitive job markets.
• Industry: Industries such as finance, healthcare, and technology tend to offer higher salaries compared to academia or non-profit sectors.
• Company Size: Larger companies or well-funded startups may offer more comprehensive compensation packages, including stock options or other long-term incentives.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a mid-level machine learning developer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest technologies and methodologies in AI/ML. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities and leadership roles.
• Networking: Engage with professional networks and communities. Attending conferences, meetups, and workshops can lead to new opportunities and insights into industry trends.
• Leadership Roles: Aim for roles that involve leading projects or teams, as these often come with higher compensation.
• Switching Companies: Sometimes, moving to a new company can result in a significant salary increase, especially if you have gained valuable experience and skills.

Educational Requirements

Most mid-level machine learning developer positions require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. A strong foundation in programming, algorithms, and data structures is essential. Some employers may prefer candidates with a master's degree, especially for roles that involve complex problem-solving and research.

Helpful Certifications

While not always mandatory, certain certifications can enhance your resume 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.

Experience Requirements

Typically, a mid-level machine learning developer is expected to have 2-5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience with popular ML frameworks like TensorFlow, PyTorch, or scikit-learn is often required. Additionally, experience in deploying models to production and working in cross-functional teams can be advantageous.

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