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

Salary details

The average mid-level / intermediate Artificial Intelligence Engineer salary lies between USD 57,300 and USD 140,000 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 22, 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 in the United States typically comprises a base salary, 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. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options might be more substantial compared to other regions. Larger companies or those in high-demand industries such as finance or tech may offer more competitive packages, including comprehensive benefits like health insurance, retirement plans, and professional development opportunities.

Steps to Increase Salary

To increase your salary from this 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 or Ph.D. in a related field can open doors to higher-paying roles.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• 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 you have gained valuable experience and skills.

Educational Requirements

Most mid-level AI engineering 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 due to the advanced nature of the work. Coursework in machine learning, statistics, mathematics, and programming is essential. Some roles may also require knowledge of specific AI frameworks and tools.

Helpful Certifications

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
• Google Professional Machine Learning Engineer

These certifications can validate your skills and knowledge in AI and machine learning, making you a more attractive candidate to employers.

Required Experience

Typically, a mid-level AI engineer is expected to have 3-5 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience with AI frameworks like TensorFlow, PyTorch, or Keras is often required. Additionally, familiarity with programming languages such as Python, R, or Java is crucial.

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