AI Scientist Salary in 2023

💰 The median AI Scientist Salary in 2023 is USD 90,919

✏️ This salary info is based on 10 individual salaries reported during 2023

Salary details

The average AI Scientist salary lies between USD 54,000 and USD 152,000 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.

Job title: AI Scientist

Experience: all levels

Region: global/worldwide

Salary year: 2023

Sample size: 10

Top 10%: $ 219,000

Top 25%: $ 152,000

Median: $ 90,919

Bottom 25%: $ 54,000

Bottom 10%: $ 20,000

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

Salary trend

Top 20 Job Tags for AI Scientist roles

The three most common job tag items assiciated with AI Scientist job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for AI Scientist roles

The three most common job benefits and perks assiciated with AI Scientist job listings are Career development, Startup environment and Team events. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Salary Composition for AI Scientist Roles

The salary for an AI Scientist typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a lower base salary but compensate with other benefits. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of AI applications in these fields. Larger companies often provide more comprehensive benefits and stock options compared to startups, which might offer higher equity stakes in lieu of a higher salary.

Steps to Increase Salary from an AI Scientist Position

To increase your salary from an AI Scientist position, consider the following strategies:

Skill Enhancement: Continuously update your skills in cutting-edge AI technologies and methodologies. 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 position you for higher-level roles.
Networking: Engage with professional networks and communities to learn about new opportunities and trends in the field.
Leadership Roles: Aim for leadership or managerial positions within your organization, which typically come with higher pay.
Industry Transition: Consider moving to industries that pay more for AI expertise, such as finance or tech giants.

Educational Requirements for AI Scientist Positions

Most AI Scientist roles require at least a master's degree in a relevant field such as computer science, data science, mathematics, or engineering. A Ph.D. is often preferred, especially for research-intensive positions. The educational background should include a strong foundation in machine learning, statistics, and programming. Coursework or experience in data analysis, algorithm design, and software development is also beneficial.

Helpful Certifications for AI Scientists

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

Google Professional Machine Learning Engineer
Microsoft Certified: Azure AI Engineer Associate
IBM AI Engineering Professional Certificate
AWS Certified Machine Learning – Specialty

These certifications can validate your skills in specific platforms and tools, making you more attractive to potential employers.

Experience Requirements for AI Scientist Roles

Typically, AI Scientist positions require several years of experience in data science or machine learning roles. Experience in developing and deploying machine learning models, working with large datasets, and using AI frameworks like TensorFlow or PyTorch is crucial. Experience in a specific industry can also be advantageous, as it provides domain knowledge that can be applied to AI solutions.

Related salaries

AI Scientist @ $ 152,000 (global) - Senior-level / Expert Details

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