Salary for Mid-level / Intermediate AI Engineer during 2024

Salary details

The average mid-level / intermediate AI Engineer salary lies between USD 98,300 and USD 172,000 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

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 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 | 280 jobs Machine Learning | 274 jobs Engineering | 264 jobs Computer Science | 192 jobs LLMs | 165 jobs NLP | 151 jobs Generative AI | 147 jobs PyTorch | 142 jobs Research | 140 jobs AWS | 135 jobs TensorFlow | 130 jobs Azure | 128 jobs Architecture | 109 jobs Deep Learning | 102 jobs Pipelines | 100 jobs ML models | 95 jobs GCP | 82 jobs APIs | 81 jobs Java | 81 jobs Agile | 77 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 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 | 240 jobs Health care | 118 jobs Flex hours | 94 jobs Competitive pay | 73 jobs Equity / stock options | 71 jobs Startup environment | 57 jobs Parental leave | 52 jobs Flex vacation | 51 jobs Insurance | 45 jobs Team events | 43 jobs Medical leave | 42 jobs Wellness | 40 jobs 401(k) matching | 39 jobs Salary bonus | 22 jobs Fitness / gym | 20 jobs Transparency | 19 jobs Home office stipend | 19 jobs Conferences | 17 jobs Relocation support | 12 jobs Unlimited paid time off | 12 jobs

Salary Composition for Mid-level AI Engineer Roles

The salary for a mid-level AI Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration might include stock options, especially in tech companies, or benefits like health insurance, retirement plans, and paid time off.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more lucrative stock options compared to other regions. Industry also impacts salary composition; AI roles in finance or healthcare might offer higher bonuses due to the critical nature of AI applications in these fields. Company size can influence the availability of stock options, with larger companies often providing more comprehensive benefits packages.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a mid-level AI Engineer 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 and leadership roles.

• Networking: Engage with professional networks and attend industry conferences to connect with leaders and peers. This can lead to new job opportunities or promotions.

• Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher pay.

• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if the new company values your specific skill set more highly.

Educational Requirements for Mid-level AI Engineer Positions

Most mid-level AI Engineer roles require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree is increasingly preferred, as it provides deeper knowledge and specialization in AI and machine learning. Coursework in data structures, algorithms, probability, statistics, and machine learning is essential.

Helpful Certifications for AI Engineers

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

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

These certifications validate your skills in specific platforms and tools, making you more attractive to potential employers.

Experience Requirements for Mid-level AI Engineer Roles

Typically, mid-level AI Engineer positions require 3-5 years of experience in AI, machine learning, or data science roles. Experience with programming languages such as Python, R, or Java, and familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is crucial. Practical experience in deploying machine learning models and working with large datasets is often expected.

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