Salary for Mid-level / Intermediate Machine Learning Scientist in United States during 2024

Salary details

The average mid-level / intermediate Machine Learning Scientist salary lies between USD 126,000 and USD 200,000 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 Scientist roles

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Scientist job listings are Machine Learning, Engineering and ML models. 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 | 58 jobs Engineering | 46 jobs ML models | 42 jobs Python | 41 jobs Research | 35 jobs Computer Science | 35 jobs PyTorch | 34 jobs Statistics | 34 jobs SQL | 31 jobs Deep Learning | 28 jobs TensorFlow | 27 jobs Mathematics | 26 jobs PhD | 24 jobs NLP | 21 jobs Security | 21 jobs Scikit-learn | 19 jobs AWS | 18 jobs Big Data | 17 jobs Pandas | 17 jobs NumPy | 17 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, Health care and Equity / stock options. 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 | 47 jobs Health care | 28 jobs Equity / stock options | 16 jobs Conferences | 16 jobs Wellness | 15 jobs Flex hours | 14 jobs Flex vacation | 13 jobs Competitive pay | 13 jobs Startup environment | 12 jobs Team events | 11 jobs Parental leave | 10 jobs Insurance | 10 jobs Medical leave | 9 jobs 401(k) matching | 7 jobs Salary bonus | 7 jobs Relocation support | 5 jobs Travel | 4 jobs Gear | 3 jobs Snacks / Drinks | 3 jobs Fitness / gym | 2 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 profits, usually make up about 10-20%. Additional remuneration might include stock options, especially in tech companies, and other benefits like health insurance, retirement contributions, and paid time off. The 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 smaller companies or those in less competitive regions might offer more in bonuses or benefits to attract talent.

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 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 further education, such as a Ph.D. or specialized certifications, can open doors to higher-paying roles.
• Leadership Roles: Transitioning into roles with more responsibility, such as a team lead or project manager, can lead to salary increases.
• Industry Shift: Moving to industries that pay higher salaries for ML expertise, such as finance or healthcare, can be beneficial.
• Networking and Visibility: Building a strong professional network and increasing your visibility in the field through publications, speaking engagements, or contributions to open-source projects can lead to better job offers.

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. A Ph.D. can be advantageous, especially for roles that involve research or are in highly competitive markets. Employers look for a strong foundation in algorithms, data structures, and statistical modeling, which are typically covered in these programs.

Helpful Certifications

While not always required, certain certifications can enhance your profile and demonstrate your expertise to potential employers. 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 employers who use these technologies.

Required Experience

Typically, a Mid-level Machine Learning Scientist is expected to have 3-5 years of relevant experience. 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 crucial. Additionally, experience in deploying models to production and working in cross-functional teams is often required.

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