Salary for Mid-level / Intermediate AI Engineer during 2023

Salary details

The average mid-level / intermediate AI Engineer salary lies between USD 73,100 and USD 180,000 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. 17, 2024

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate 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 | 24 jobs Python | 22 jobs Engineering | 21 jobs TensorFlow | 15 jobs Computer Science | 15 jobs PyTorch | 14 jobs Deep Learning | 12 jobs NLP | 11 jobs Research | 11 jobs Statistics | 11 jobs R | 8 jobs AWS | 8 jobs GCP | 8 jobs Keras | 7 jobs Scikit-learn | 7 jobs ML models | 7 jobs Agile | 7 jobs Mathematics | 7 jobs Pandas | 6 jobs Architecture | 6 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate AI Engineer job listings are Career development, Health care and Startup environment. 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 | 23 jobs Health care | 11 jobs Startup environment | 9 jobs Competitive pay | 9 jobs Team events | 8 jobs Flex vacation | 7 jobs Equity / stock options | 6 jobs Flex hours | 5 jobs Wellness | 3 jobs Conferences | 3 jobs Relocation support | 3 jobs Medical leave | 3 jobs Insurance | 3 jobs Parental leave | 2 jobs Gear | 2 jobs Fitness / gym | 2 jobs Salary bonus | 2 jobs Home office stipend | 2 jobs 401(k) matching | 1 jobs Lunch / meals | 1 jobs

Salary Composition

The salary for a Mid-level AI 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, AI engineers in tech hubs like Silicon Valley or New York might receive higher base salaries and more substantial stock options compared to those in smaller markets. Industry also plays a role; AI engineers in finance or healthcare might see different bonus structures compared to those in tech or manufacturing. Company size can influence the package as well, with larger companies often offering more comprehensive benefits and smaller startups providing more equity-based compensation.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in AI or related fields can open up higher-paying opportunities.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to salary increases.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining advanced certifications can demonstrate expertise and justify a higher salary.

Educational Requirements

Most mid-level AI Engineer positions require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for roles involving complex problem-solving and research. A strong foundation in mathematics, statistics, and programming is essential, as these are core components of AI and machine learning.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Google Professional Machine Learning Engineer

These certifications can validate your skills in specific 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 experience in AI, machine learning, or data science roles. 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, as is familiarity with popular AI frameworks and libraries like TensorFlow, PyTorch, and scikit-learn.

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