Salary for Mid-level / Intermediate AI Researcher during 2024

Salary details

The average mid-level / intermediate AI Researcher salary lies between USD 160,000 and USD 248,500 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

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

The three most common job tag items assiciated with mid-level / intermediate AI Researcher job listings are Machine Learning, Research and Python. 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 | 18 jobs Research | 17 jobs Python | 14 jobs Computer Science | 12 jobs Generative AI | 11 jobs Deep Learning | 10 jobs Engineering | 10 jobs LLMs | 10 jobs Computer Vision | 9 jobs NLP | 8 jobs PhD | 8 jobs PyTorch | 7 jobs Generative modeling | 7 jobs TensorFlow | 6 jobs Open Source | 5 jobs Security | 5 jobs Architecture | 5 jobs NeurIPS | 5 jobs ICML | 5 jobs ML models | 4 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate AI Researcher job listings are Career development, Equity / stock options and Wellness. 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 | 14 jobs Equity / stock options | 8 jobs Wellness | 8 jobs Startup environment | 8 jobs Parental leave | 7 jobs Conferences | 7 jobs Competitive pay | 6 jobs Flex hours | 5 jobs Health care | 4 jobs Transparency | 3 jobs Team events | 3 jobs Salary bonus | 3 jobs Home office stipend | 3 jobs Cell phone stipend | 3 jobs Insurance | 2 jobs Flex vacation | 1 jobs Medical leave | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate AI Researcher typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually forms the bulk 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, like stock options, is more common in larger tech firms or startups and can be a significant part of the total compensation, especially in regions like Silicon Valley. In contrast, companies in other regions or industries might offer less in terms of equity but compensate with higher base salaries or bonuses.

Increasing Salary

To increase your salary from this position, consider specializing in a niche area of AI/ML that is in high demand, such as deep learning, natural language processing, or AI ethics. Pursuing leadership roles or transitioning into a managerial position can also lead to higher compensation. Additionally, gaining experience in high-impact projects or contributing to open-source AI projects can enhance your profile. Networking within the industry and attending conferences can open up opportunities for higher-paying roles. Finally, considering a move to a region or industry known for higher salaries, such as finance or healthcare tech, can also be beneficial.

Educational Requirements

Most mid-level AI Researcher positions require at least a Master's degree in a relevant field such as Computer Science, Data Science, Mathematics, or Statistics. A Ph.D. is often preferred, especially for research-intensive roles, as it demonstrates a deep understanding of AI/ML concepts and the ability to conduct independent research. Candidates with a strong academic background in machine learning, artificial intelligence, or related fields are typically favored.

Helpful Certificates

While not always mandatory, certain certifications can enhance your credentials and demonstrate expertise in specific areas. Certifications such as the TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or the Microsoft Certified: Azure AI Engineer Associate can be beneficial. These certifications show proficiency in using popular AI/ML tools and platforms, which can be attractive to employers.

Required Experience

Typically, a mid-level AI Researcher is expected to have 3-5 years of experience in AI/ML or data science roles. This experience should include hands-on work with machine learning models, data analysis, and possibly some experience in deploying AI solutions. Experience in a specific industry, such as healthcare, finance, or automotive, can also be advantageous, as it demonstrates the ability to apply AI/ML solutions to real-world problems.

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