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

Salary details

The average mid-level / intermediate Machine Learning Scientist salary lies between USD 125,000 and USD 220,000 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: Nov. 17, 2024

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Scientist job listings are Machine Learning, Python and ML models. 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 | 10 jobs Python | 9 jobs ML models | 8 jobs Research | 7 jobs Engineering | 7 jobs Computer Science | 7 jobs Deep Learning | 6 jobs R | 5 jobs TensorFlow | 5 jobs PhD | 5 jobs R&D | 5 jobs NLP | 4 jobs PyTorch | 4 jobs AWS | 4 jobs Java | 4 jobs Keras | 3 jobs Scikit-learn | 3 jobs SQL | 3 jobs NumPy | 3 jobs Security | 3 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Scientist job listings are Career development, 401(k) matching and Conferences. 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 | 9 jobs 401(k) matching | 4 jobs Conferences | 4 jobs Health care | 3 jobs Team events | 3 jobs Equity / stock options | 2 jobs Flex hours | 2 jobs Flex vacation | 2 jobs Competitive pay | 2 jobs Medical leave | 2 jobs Insurance | 2 jobs Parental leave | 1 jobs Startup environment | 1 jobs Salary bonus | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Machine Learning Scientist in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company success, usually make up 10-20% of the total salary. 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 stock options, while companies in other regions might focus more on bonuses and benefits.

Increasing Salary

To increase your salary from a Mid-level Machine Learning Scientist position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest tools and technologies 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 further education, such as a Ph.D. or specialized certifications, can open doors to higher-level positions.
• Leadership Roles: Transitioning into roles that combine technical expertise with leadership, such as a team lead or project manager, can lead to salary increases.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Negotiation: Always be prepared to negotiate your salary, especially when changing jobs or during performance reviews.

Educational Requirements

Most Mid-level Machine Learning Scientist positions require at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. Some positions may accept a Bachelor's degree if accompanied by significant experience and a strong portfolio of projects. A Ph.D. can be advantageous, particularly for roles that involve research or are in academia.

Helpful Certifications

While not always required, certain certifications can enhance your resume and demonstrate your expertise. Some popular 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.

Required Experience

Typically, a Mid-level Machine Learning Scientist 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 in deploying models to production and working in cross-functional teams is also highly valued.

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