AI Engineer Salary in 2024

Salary details

The average AI Engineer salary lies between USD 110,000 and USD 202,500 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. 17, 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 Python, Machine Learning 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:

Python | 1094 jobs Machine Learning | 1072 jobs Engineering | 1044 jobs Computer Science | 741 jobs LLMs | 651 jobs Generative AI | 575 jobs Research | 551 jobs AWS | 527 jobs NLP | 523 jobs PyTorch | 494 jobs Azure | 492 jobs Architecture | 478 jobs TensorFlow | 469 jobs Deep Learning | 437 jobs Pipelines | 416 jobs ML models | 348 jobs Agile | 333 jobs GCP | 332 jobs Security | 331 jobs APIs | 317 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, Health care and Flex hours. 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 | 982 jobs Health care | 451 jobs Flex hours | 391 jobs Startup environment | 291 jobs Competitive pay | 271 jobs Equity / stock options | 269 jobs Team events | 187 jobs Flex vacation | 179 jobs Parental leave | 163 jobs Insurance | 159 jobs Salary bonus | 149 jobs Medical leave | 146 jobs Wellness | 132 jobs 401(k) matching | 126 jobs Conferences | 73 jobs Fitness / gym | 57 jobs Transparency | 57 jobs Home office stipend | 48 jobs Relocation support | 46 jobs Gear | 40 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 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 competitive market.

• Bonuses: These can be performance-based or company-wide bonuses. Performance bonuses are tied to individual or team achievements, while company-wide bonuses depend on the overall success of the company. Industries like finance or large tech companies often offer substantial bonuses.

• Additional Remuneration: This includes stock options, profit-sharing, health benefits, and retirement plans. Startups might offer more equity as part of the compensation package, while larger companies might provide comprehensive health and retirement benefits.

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 and leadership roles.

• Networking and Industry Engagement: Attend conferences, workshops, and meetups to connect with industry leaders and peers. Networking can lead to new opportunities and insights into higher-paying roles.

• Leadership and Management Roles: Transitioning into roles that combine technical expertise with leadership, such as AI team lead or project manager, can significantly increase your earning potential.

Educational Requirements for AI Engineer Roles

Most AI Engineer positions 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 roles. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications for AI Engineers

While not always mandatory, certain certifications can enhance your resume 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 validate your skills and knowledge in specific AI/ML tools and platforms, making you more attractive to potential employers.

Experience Requirements for AI Engineer Roles

Typically, AI Engineer 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 in deploying AI solutions in real-world applications is highly valued.

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