Machine Learning Engineer Salary in United States during 2022
💰 The median Machine Learning Engineer Salary in United States during 2022 is USD 176,100
✏️ This salary info is based on 92 individual salaries reported during 2022
Salary details
The average Machine Learning Engineer salary lies between USD 131,300 and USD 201,000 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.
- Job title
- Machine Learning Engineer
- Experience
- all levels
- Region
- United States
- Salary year
- 2022
- Sample size
- 92
- Top 10%
-
- Top 25%
-
- Median
-
- Bottom 25%
-
- Bottom 10%
-
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:Salary trend
Top 20 Job Tags for Machine Learning Engineer roles
The three most common job tag items assiciated with Machine Learning Engineer job listings are Machine Learning, Python and Engineering. 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:
Machine Learning | 1013 jobs Python | 827 jobs Engineering | 784 jobs ML models | 558 jobs Computer Science | 524 jobs TensorFlow | 452 jobs Research | 434 jobs PyTorch | 416 jobs Pipelines | 415 jobs AWS | 385 jobs Deep Learning | 372 jobs Spark | 315 jobs Testing | 300 jobs NLP | 293 jobs SQL | 266 jobs Statistics | 248 jobs Scikit-learn | 228 jobs Agile | 221 jobs Kubernetes | 219 jobs GCP | 219 jobsTop 20 Job Perks/Benefits for Machine Learning Engineer roles
The three most common job benefits and perks assiciated with Machine Learning Engineer job listings are Career development, Health care and Flex hours. 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:
Career development | 819 jobs Health care | 350 jobs Flex hours | 296 jobs Flex vacation | 296 jobs Startup environment | 254 jobs Team events | 243 jobs Equity / stock options | 219 jobs Parental leave | 190 jobs Competitive pay | 188 jobs Insurance | 160 jobs Medical leave | 149 jobs Salary bonus | 122 jobs Conferences | 111 jobs Home office stipend | 90 jobs Unlimited paid time off | 87 jobs Wellness | 80 jobs 401(k) matching | 72 jobs Flexible spending account | 59 jobs Fitness / gym | 39 jobs Gear | 36 jobsSalary Composition
The salary for a Machine Learning Engineer in the United States typically comprises a base salary, 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 be performance-based or company-wide, and they vary significantly depending on the company's financial health and individual performance. Additional remuneration, like stock options, is more common in larger tech companies or startups, where equity can be a significant part of the compensation. The composition can also vary by region, with tech hubs like Silicon Valley offering higher base salaries and more substantial equity packages compared to other regions. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or smaller tech firms.
Increasing Salary
To increase your salary from a Machine Learning Engineer position, consider the following steps:
- Specialization: Develop expertise in a niche area of machine learning, such as natural language processing, computer vision, or reinforcement learning. Specialized skills can command higher salaries.
- Leadership Roles: Transition into roles with more responsibility, such as a lead or managerial position, which often come with higher pay.
- Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML. Attending workshops, conferences, and pursuing further education can make you more valuable.
- Networking: Build a strong professional network. Engaging with industry professionals can open up opportunities for higher-paying roles.
- Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.
Educational Requirements
Most Machine Learning Engineer positions require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve research or advanced algorithm development. These advanced degrees provide a deeper understanding of machine learning theories and practices, which can be crucial for more complex projects.
Helpful Certifications
While not always required, certain certifications can enhance your resume and demonstrate your commitment to the field. 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 validate your skills in specific platforms and tools, making you more attractive to potential employers.
Required Experience
Typically, employers look for candidates with at least 2-5 years of experience in machine learning or related fields. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience with popular ML frameworks like TensorFlow, PyTorch, or scikit-learn is often expected. Additionally, experience in deploying models into production and working in cross-functional teams can be highly beneficial.
Related salaries
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 frontpageAbout 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.