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

Salary details

The average senior-level / expert Machine Learning Scientist salary lies between USD 149,600 and USD 186,153 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 Scientist roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Scientist 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 | 268 jobs Python | 219 jobs Engineering | 183 jobs Computer Science | 179 jobs Research | 170 jobs Statistics | 170 jobs Deep Learning | 159 jobs PyTorch | 159 jobs ML models | 157 jobs PhD | 140 jobs TensorFlow | 133 jobs SQL | 116 jobs Mathematics | 109 jobs LLMs | 94 jobs NLP | 83 jobs Scikit-learn | 80 jobs Testing | 77 jobs Architecture | 76 jobs Pipelines | 65 jobs Security | 64 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Scientist job listings are Career development, Health care and Wellness. 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 | 244 jobs Health care | 164 jobs Wellness | 103 jobs Flex hours | 96 jobs Equity / stock options | 82 jobs Competitive pay | 82 jobs Insurance | 80 jobs Salary bonus | 77 jobs Parental leave | 66 jobs Conferences | 65 jobs Startup environment | 61 jobs Flex vacation | 60 jobs Team events | 53 jobs Medical leave | 41 jobs 401(k) matching | 28 jobs Home office stipend | 25 jobs Gear | 18 jobs Travel | 14 jobs Fitness / gym | 12 jobs Snacks / Drinks | 12 jobs

Salary Composition

In Canada, the salary composition for a Senior-level or Expert Machine Learning Scientist typically includes a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. 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 profitability and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in high-growth industries. The exact composition can vary by region, with tech hubs like Toronto and Vancouver offering more competitive packages, and by industry, with finance and tech sectors typically offering higher compensation.

Increasing Salary Further

To increase your salary beyond the median level, consider pursuing leadership roles such as a Machine Learning Team Lead or Director of AI. 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 building a strong personal brand through speaking engagements, publications, or contributions to open-source projects can also enhance your visibility and lead to higher-paying opportunities. Finally, consider negotiating your salary by leveraging offers from other companies or demonstrating your impact on business outcomes.

Educational Requirements

Most Senior-level Machine Learning Scientist positions require at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Electrical Engineering. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms or technologies. The educational background should include a strong foundation in mathematics, statistics, and computer programming, with coursework or research experience in machine learning, data mining, and artificial intelligence.

Helpful Certificates

While not always required, certain certifications can enhance your qualifications and demonstrate expertise. Some valuable certifications include:

• Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models.
• AWS Certified Machine Learning – Specialty: Demonstrates your skills in building, training, and deploying ML models on the AWS platform.
• TensorFlow Developer Certificate: Shows proficiency in using TensorFlow for machine learning and deep learning tasks.

These certifications can be particularly beneficial if they align with the technologies used by your target employers.

Required Experience

Typically, a Senior-level Machine Learning Scientist 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, mentoring junior team members, and collaborating with cross-functional teams is also highly valued. A proven track record of successful projects and contributions to the field, such as published research or patents, can further strengthen your candidacy.

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