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

Salary details

The average mid-level / intermediate Machine Learning Scientist salary lies between USD 117,000 and USD 180,000 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 Mid-level / Intermediate Machine Learning Scientist roles

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Scientist job listings are Machine Learning, Engineering 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:

Machine Learning | 58 jobs Engineering | 46 jobs ML models | 42 jobs Python | 41 jobs Research | 35 jobs Computer Science | 35 jobs PyTorch | 34 jobs Statistics | 34 jobs SQL | 31 jobs Deep Learning | 28 jobs TensorFlow | 27 jobs Mathematics | 26 jobs PhD | 24 jobs NLP | 21 jobs Security | 21 jobs Scikit-learn | 19 jobs AWS | 18 jobs Big Data | 17 jobs Pandas | 17 jobs NumPy | 17 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Scientist 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 2024 and the number of open jobs that where offering them during that period:

Career development | 47 jobs Health care | 28 jobs Equity / stock options | 16 jobs Conferences | 16 jobs Wellness | 15 jobs Flex hours | 14 jobs Flex vacation | 13 jobs Competitive pay | 13 jobs Startup environment | 12 jobs Team events | 11 jobs Parental leave | 10 jobs Insurance | 10 jobs Medical leave | 9 jobs 401(k) matching | 7 jobs Salary bonus | 7 jobs Relocation support | 5 jobs Travel | 4 jobs Gear | 3 jobs Snacks / Drinks | 3 jobs Fitness / gym | 2 jobs

Salary Composition

In Canada, the salary composition for a Mid-level Machine Learning Scientist typically includes a base salary, performance bonuses, and additional remuneration such as stock options or benefits. 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 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, dental, and retirement plans. The composition can vary by region, with tech hubs like Toronto and Vancouver offering higher salaries. Industry also plays a role; for instance, finance and tech sectors tend to offer more competitive packages compared to academia or non-profit organizations. Larger companies might offer more in terms of stock options and bonuses, while smaller companies might provide more flexibility or unique benefits.

Increasing Salary

To increase your salary from a Mid-level Machine Learning Scientist position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest tools and technologies 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 further education, such as a Ph.D. or specialized certifications, can open doors to higher-paying roles.
• Leadership Roles: Transitioning into roles with more responsibility, such as a team lead or project manager, can lead to salary increases.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Negotiation: Always negotiate your salary and benefits when offered a new position or during performance reviews.

Educational Requirements

Most Mid-level Machine Learning Scientist positions require at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A strong foundation in these areas is crucial as it provides the theoretical and practical knowledge needed to develop and implement machine learning models. Some positions might accept a Bachelor's degree if accompanied by significant experience or demonstrable skills in machine learning.

Helpful Certificates

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 Mid-level Machine Learning Scientist is expected to have 3-5 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and programming in languages such as Python or R. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn is also commonly required. Additionally, experience in deploying models in production environments and working in cross-functional teams can be advantageous.

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