Salary for Senior-level / Expert Machine Learning Engineer during 2022

Salary details

The average senior-level / expert Machine Learning Engineer salary lies between USD 135,000 and USD 202,900 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 2024

Salary trend

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

The three most common job tag items assiciated with senior-level / expert Machine Learning Engineer job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Machine Learning | 731 jobs Python | 594 jobs Engineering | 588 jobs ML models | 430 jobs Computer Science | 370 jobs TensorFlow | 339 jobs Research | 320 jobs Pipelines | 312 jobs PyTorch | 310 jobs Deep Learning | 281 jobs AWS | 273 jobs Spark | 233 jobs Testing | 220 jobs NLP | 209 jobs SQL | 192 jobs Statistics | 173 jobs Scikit-learn | 172 jobs Kubernetes | 166 jobs GCP | 163 jobs Agile | 163 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Engineer job listings are Career development, Health care and Flex vacation. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 591 jobs Health care | 249 jobs Flex vacation | 230 jobs Flex hours | 220 jobs Startup environment | 180 jobs Team events | 176 jobs Equity / stock options | 164 jobs Parental leave | 153 jobs Competitive pay | 133 jobs Insurance | 124 jobs Medical leave | 123 jobs Salary bonus | 85 jobs Conferences | 74 jobs Home office stipend | 68 jobs Wellness | 65 jobs Unlimited paid time off | 59 jobs 401(k) matching | 58 jobs Flexible spending account | 50 jobs Snacks / Drinks | 23 jobs Gear | 22 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Engineer typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer substantial equity to attract top talent. In contrast, companies in other regions might offer a lower base salary but compensate with higher bonuses or other benefits. Industries such as finance or healthcare might offer higher bonuses compared to startups, which might focus more on equity. Large companies often have structured bonus systems, while smaller companies might offer more flexible or negotiable packages.

Increasing Salary

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

• Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or computer vision, which can make you more valuable.
• 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, which can command higher hourly rates and provide additional income streams.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML, which can make you more competitive and justify a higher salary.
• Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.

Educational Requirements

Most Senior-level Machine Learning Engineer positions require at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. is often preferred, especially for roles that involve research or developing new algorithms. The educational background should include a strong foundation in machine learning, data analysis, and programming.

Helpful Certificates

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

Required Experience

Typically, a Senior-level Machine Learning 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 leading projects or teams, as well as a proven track record of successful machine learning implementations, is highly valued.

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