Salary for Mid-level / Intermediate Machine Learning Researcher in United States during 2023

Salary details

The average mid-level / intermediate Machine Learning Researcher salary lies between USD 138,700 and USD 210,000 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

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Researcher job listings are Machine Learning, Research and Python. 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 | 7 jobs Research | 7 jobs Python | 6 jobs Engineering | 6 jobs Computer Science | 6 jobs Deep Learning | 4 jobs Computer Vision | 3 jobs TensorFlow | 3 jobs PyTorch | 3 jobs AWS | 3 jobs Statistics | 3 jobs JavaScript | 2 jobs Big Data | 2 jobs Architecture | 2 jobs Azure | 2 jobs MLOps | 2 jobs Pipelines | 2 jobs APIs | 2 jobs Mathematics | 2 jobs ICLR | 2 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Researcher job listings are Career development, Conferences and Equity / stock options. 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 | 6 jobs Conferences | 4 jobs Equity / stock options | 3 jobs Flex vacation | 2 jobs Health care | 2 jobs Competitive pay | 2 jobs Insurance | 2 jobs 401(k) matching | 1 jobs Flex hours | 1 jobs Wellness | 1 jobs Gear | 1 jobs Team events | 1 jobs Salary bonus | 1 jobs

Salary Composition for a Mid-level Machine Learning Researcher

The salary for a mid-level machine learning researcher in the United States typically comprises several components. The fixed base salary is the most significant portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up about 10-20%. Additional remuneration might include stock options, especially in tech companies, and other benefits such as health insurance, retirement contributions, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and more substantial stock options, while smaller companies or those in less competitive regions might offer more modest packages.

Steps to Increase Salary from a Mid-level Position

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

• Skill Enhancement: Continuously update your skills with the latest technologies and methodologies in AI/ML. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a Ph.D. or specialized certifications can position you for senior roles.
• Networking: Engage with professional communities, attend conferences, and participate in workshops to expand your network and discover new opportunities.
• Leadership Roles: Seek opportunities to lead projects or teams, which can demonstrate your capability for higher-level positions.
• Industry Transition: Consider moving to industries that offer higher compensation for AI/ML roles, such as finance or healthcare.

Educational Requirements

Most mid-level machine learning researcher positions require at least a master's degree in a relevant field such as computer science, data science, statistics, or applied mathematics. A strong foundation in these areas is crucial, as it provides the theoretical and practical knowledge necessary for developing and implementing machine learning models. Some positions may also consider candidates with a bachelor's degree if they have significant experience or a proven track record in the field.

Helpful Certifications

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

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

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

Experience Requirements

Typically, a mid-level machine learning researcher 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 programming in languages such as Python or R. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn is also essential. Additionally, experience in deploying models in production environments and working in cross-functional teams can be highly beneficial.

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