Machine Learning Engineer Salary in 2022

Salary details

The average Machine Learning Engineer salary lies between USD 115,573 and USD 195,400 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 2024

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 jobs

Top 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 jobs

Salary Composition for Machine Learning Engineers

The salary composition for a Machine Learning Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.

• Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation. In tech hubs like Silicon Valley, the base salary might be higher compared to other regions due to the cost of living and competition for talent.

• Bonuses: These can be performance-based or company-wide bonuses. In industries like finance or large tech companies, bonuses can be a significant part of the compensation package, sometimes ranging from 10% to 20% of the base salary.

• Additional Remuneration: This includes stock options, restricted stock units (RSUs), and other benefits like health insurance, retirement plans, and paid time off. Startups might offer more equity to compensate for a lower base salary, while established companies might provide a more balanced package.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills with the latest technologies and tools 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 master's or Ph.D. in a related field can open up higher-paying opportunities and leadership roles.

• Networking and Industry Engagement: Attend conferences, workshops, and meetups to connect with industry leaders and peers. This can lead to new job opportunities or collaborations.

• Performance and Negotiation: Consistently demonstrate your value through successful projects and outcomes. When negotiating, leverage your achievements and market research to justify a higher salary.

Educational Requirements

Most Machine Learning Engineer positions require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, many employers prefer candidates with a master's degree or Ph.D., especially for roles involving complex research and development.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise:

• 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, employers look for candidates with 2-5 years of experience in machine learning or data science roles. Experience with programming languages like Python or R, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, is often required. Experience in deploying machine learning models in production environments is also highly valued.

Related salaries

Want to contribute?