AI Developer Salary in 2023

Salary details

The average AI Developer salary lies between USD 74,883 and USD 192,000 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. 24, 2024

Salary trend

Top 20 Job Tags for AI Developer roles

The three most common job tag items assiciated with AI Developer job listings are Python, Computer Science and Machine Learning. 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:

Python | 15 jobs Computer Science | 13 jobs Machine Learning | 12 jobs Engineering | 12 jobs NLP | 9 jobs R | 8 jobs TensorFlow | 8 jobs Java | 8 jobs Deep Learning | 7 jobs Computer Vision | 7 jobs PyTorch | 7 jobs OpenAI | 6 jobs Generative AI | 6 jobs Scikit-learn | 5 jobs AWS | 5 jobs Research | 5 jobs Testing | 5 jobs Architecture | 5 jobs Azure | 5 jobs Agile | 5 jobs

Top 20 Job Perks/Benefits for AI Developer roles

The three most common job benefits and perks assiciated with AI Developer job listings are Career development, Team events 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 | 17 jobs Team events | 8 jobs Flex hours | 6 jobs Startup environment | 5 jobs Health care | 4 jobs Competitive pay | 4 jobs Salary bonus | 4 jobs Equity / stock options | 2 jobs Parental leave | 1 jobs Flex vacation | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for an AI Developer can vary significantly based on factors such as region, industry, and company size. Typically, the compensation package is composed of a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. In tech hubs like Silicon Valley, the base salary might be higher due to the cost of living and competitive market, while bonuses and stock options can form a substantial part of the total compensation. In contrast, regions with a lower cost of living might offer a smaller base salary but still provide competitive bonuses. Industries such as finance or healthcare may offer higher salaries compared to academia or startups, where the focus might be more on equity and long-term growth potential.

Increasing Salary

To increase your salary from the AI Developer 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 doors to higher-paying roles.
• Leadership Roles: Transitioning into roles such as AI Team Lead or AI Architect can significantly boost your salary.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech giants, can result in a salary increase.
• Networking: Building a strong professional network can lead to opportunities in higher-paying positions.

Educational Requirements

Most AI Developer 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 Ph.D., especially for more advanced positions. A strong foundation in mathematics, statistics, and programming is essential, as these are the core skills needed to develop and implement AI models.

Helpful Certifications

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

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

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

Required Experience

Typically, AI Developer roles require 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 programming languages such as Python, R, or Java, and familiarity with AI frameworks like TensorFlow, PyTorch, or Keras, is often expected. Additionally, experience in deploying AI models in production environments is highly valued.

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