AI Engineer Salary in 2023

Salary details

The average AI Engineer salary lies between USD 86,500 and USD 220,000 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.

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

Last updated: Nov. 10, 2024

Salary trend

Top 20 Job Tags for AI Engineer roles

The three most common job tag items assiciated with AI Engineer 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:

Machine Learning | 160 jobs Python | 140 jobs Engineering | 117 jobs Computer Science | 92 jobs Research | 88 jobs TensorFlow | 78 jobs PyTorch | 78 jobs Deep Learning | 70 jobs ML models | 60 jobs Generative AI | 58 jobs AWS | 57 jobs Statistics | 56 jobs NLP | 54 jobs LLMs | 54 jobs Architecture | 49 jobs Azure | 42 jobs Mathematics | 42 jobs R | 40 jobs Java | 38 jobs Keras | 37 jobs

Top 20 Job Perks/Benefits for AI Engineer roles

The three most common job benefits and perks assiciated with AI Engineer job listings are Career development, Startup environment and Flex hours. 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:

Career development | 134 jobs Startup environment | 69 jobs Flex hours | 66 jobs Health care | 57 jobs Team events | 47 jobs Salary bonus | 45 jobs Competitive pay | 40 jobs Flex vacation | 33 jobs Equity / stock options | 30 jobs Parental leave | 21 jobs Medical leave | 20 jobs Wellness | 17 jobs Yoga | 16 jobs Unlimited paid time off | 15 jobs Conferences | 13 jobs 401(k) matching | 12 jobs Insurance | 12 jobs Home office stipend | 11 jobs Gear | 6 jobs Transparency | 6 jobs

Salary Composition for AI Engineer Roles

The salary composition for an AI Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation. In tech hubs like Silicon Valley, the base salary might be higher compared to other regions due to the cost of living and competition for talent.

• Bonuses: These can be performance-based or company-wide bonuses. In industries like finance or large tech companies, bonuses can be a significant part of the compensation package, sometimes ranging from 10% to 30% of the base salary.

• Additional Remuneration: This includes stock options, restricted stock units (RSUs), or other equity-based compensation, which are common in startups and large tech firms. Benefits such as health insurance, retirement plans, and other perks also fall under this category.

Steps to Increase Salary from an AI Engineer Position

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

• Skill Enhancement: Continuously update your skills with the latest AI/ML technologies and tools. 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 or Ph.D. in a relevant field can open up higher-paying opportunities, especially in research-intensive roles.

• Leadership Roles: Transitioning into managerial or lead roles can significantly boost your salary. This involves developing soft skills such as team management, communication, and strategic planning.

• Networking and Industry Engagement: Attend conferences, workshops, and seminars to build a strong professional network. This can lead to opportunities in higher-paying companies or roles.

Educational Requirements for AI Engineer Positions

Most AI Engineer roles require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for more advanced positions. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications for AI Engineers

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise:

• Certified Artificial Intelligence Practitioner (CAIP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can help you stand out in a competitive job market and may lead to better job opportunities and salary prospects.

Experience Requirements for AI Engineer Roles

Typically, AI Engineer positions require at least 2-5 years of experience in a related field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience with specific tools and frameworks like TensorFlow, PyTorch, or scikit-learn is often required.

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