Machine Learning Scientist Salary in United States during 2022

💰 The median Machine Learning Scientist Salary in United States during 2022 is USD 160,000

✏️ This salary info is based on 11 individual salaries reported during 2022

Salary details

The average Machine Learning Scientist salary lies between USD 135,000 and USD 193,900 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.

Job title: Machine Learning Scientist

Experience: all levels

Region: United States

Salary year: 2022

Sample size: 11

Top 10%: $ 200,000

Top 25%: $ 193,900

Median: $ 160,000

Bottom 25%: $ 135,000

Bottom 10%: $ 129,300

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 Machine Learning Scientist roles

The three most common job tag items assiciated with Machine Learning Scientist job listings are Machine Learning, Python and Computer Science. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for Machine Learning Scientist roles

The three most common job benefits and perks assiciated with Machine Learning Scientist job listings are Career development, Conferences and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Salary Composition

The salary for a Machine Learning Scientist in the United States 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 largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements. In tech hubs like Silicon Valley, Seattle, or New York, companies often offer substantial equity packages, which can be a significant part of the total compensation, especially in startups or high-growth companies. In contrast, companies in other regions or industries might offer smaller equity components but could compensate with higher base salaries or bonuses.

Increasing Salary

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

Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or computer vision, which can make you more valuable to employers.
Leadership Roles: Transition into roles with more responsibility, such as a team lead or manager, which often come with higher pay.
Industry Switch: Consider moving to industries that pay higher salaries for ML expertise, such as finance, healthcare, or autonomous vehicles.
Networking and Visibility: Attend conferences, publish papers, or contribute to open-source projects to increase your visibility and network within the industry.

Educational Requirements

Most Machine Learning Scientist positions require at least a master's degree in a relevant field such as computer science, data science, statistics, or applied mathematics. A Ph.D. is often preferred, especially for research-intensive roles or positions at top-tier tech companies. The advanced education provides a strong foundation in the theoretical aspects of machine learning and data analysis, which is crucial for developing new algorithms and models.

Helpful Certificates

While not always required, certain certifications can enhance your resume and demonstrate your commitment to the field. 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 or tools and may be particularly beneficial if you're targeting roles that require expertise in those environments.

Required Experience

Typically, employers look for candidates with at least 2-5 years of experience in machine learning or data science roles. 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 highly valued. For senior roles, more extensive experience, including project leadership or contributions to significant projects, is often required.

Related salaries

Machine Learning Scientist @ $ 148,500 (global) Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.

Add your salary info Download all salary data