Salary for Mid-level / Intermediate Artificial Intelligence Engineer during 2024

Salary details

The average mid-level / intermediate Artificial Intelligence Engineer salary lies between USD 57,300 and USD 140,000 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: Dec. 15, 2024

Top 20 Job Tags for Mid-level / Intermediate Artificial Intelligence Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Artificial Intelligence Engineer job listings are Machine Learning, ML models and Agile. 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:

Machine Learning | 21 jobs ML models | 20 jobs Agile | 16 jobs Statistics | 14 jobs Scrum | 13 jobs Statistical modeling | 13 jobs Privacy | 13 jobs Python | 10 jobs Computer Science | 10 jobs Engineering | 9 jobs TensorFlow | 7 jobs PyTorch | 7 jobs Pipelines | 7 jobs LLMs | 7 jobs Deep Learning | 6 jobs NLP | 6 jobs Scikit-learn | 6 jobs Azure | 6 jobs MLOps | 6 jobs PhD | 6 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Artificial Intelligence Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Artificial Intelligence Engineer job listings are Career development, Team events and Parental leave. 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 | 24 jobs Team events | 14 jobs Parental leave | 13 jobs Competitive pay | 13 jobs Startup environment | 4 jobs Health care | 3 jobs Flex hours | 2 jobs 401(k) matching | 1 jobs Wellness | 1 jobs Conferences | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs Salary bonus | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Artificial Intelligence Engineer typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration might include stock options, especially in tech companies or startups, and benefits like health insurance, retirement plans, and paid time off.

Regional differences can also impact salary composition. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options due to the high cost of living and competitive job market. In contrast, companies in smaller cities or regions might offer lower base salaries but compensate with other benefits. Industry and company size also play a role; larger tech companies or those in high-demand sectors like finance or healthcare might offer more lucrative packages compared to smaller firms or less tech-centric industries.

Steps to Increase Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update and expand your skill set, particularly in emerging AI technologies and tools. Specializing in niche areas like natural language processing, computer vision, or reinforcement learning can make you more valuable.

• Advanced Education: Pursuing further education, such as a master's or Ph.D. in AI or related fields, can open doors to higher-level positions and salary brackets.

• Leadership Roles: Seek opportunities to lead projects or teams, as management experience can significantly boost your earning potential.

• Networking: Build a strong professional network within the AI community. This can lead to new opportunities and insights into higher-paying roles.

• Certifications: Obtain advanced certifications that are recognized in the industry to demonstrate your expertise and commitment to professional growth.

Educational Requirements

Most mid-level AI engineering positions require at least a bachelor's degree in computer science, data science, engineering, mathematics, or a related field. However, a master's degree is often preferred and can be a significant advantage. These programs typically cover essential topics such as machine learning, data analysis, algorithms, and programming, providing a solid foundation for a career in AI.

Helpful Certifications

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

• 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 in specific AI tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level AI engineer is expected to have 3-5 years of relevant experience. 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 and collaborating with cross-functional teams is also highly valued.

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