Machine Learning Software Engineer Salary in 2022

💰 The median Machine Learning Software Engineer Salary in 2022 is USD 227,200

✏️ This salary info is based on 5 individual salaries reported during 2022

Salary details

The average Machine Learning Software Engineer salary lies between USD 183,600 and USD 248,400 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.

Job title: Machine Learning Software Engineer

Experience: all levels

Region: global/worldwide

Salary year: 2022

Sample size: 5

Top 10%: $ 375,000

Top 25%: $ 248,400

Median: $ 227,200

Bottom 25%: $ 183,600

Bottom 10%: $ 168,000

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 Software Engineer roles

The three most common job tag items assiciated with Machine Learning Software Engineer job listings are Machine Learning, Research and Python. 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 Software Engineer roles

The three most common job benefits and perks assiciated with Machine Learning Software Engineer job listings are Career development, Medical leave and 401(k) matching. 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 Software Engineer typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly based on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but the cost of living is also elevated. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with substantial bonuses or stock options. In larger companies, the bonus structure might be more formalized, while startups might offer more equity as part of the compensation package.

Increasing Salary

To increase your salary from this position, consider the following steps:

Skill Enhancement: Continuously update your skills with the latest technologies and tools in AI/ML. Specializing in a niche area can make you more valuable.
Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open doors to higher-paying roles.
Leadership Roles: Transitioning into a leadership or managerial role can significantly increase your earning potential.
Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most Machine Learning Software Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for roles involving complex research and development tasks. A strong foundation in statistics, linear algebra, and programming is essential.

Helpful Certifications

While not always required, certain certifications can enhance your resume 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 and knowledge in specific platforms and tools, making you more attractive to potential employers.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in software engineering, data science, or a related field. Experience with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), programming languages (like Python, R, or Java), and cloud platforms (AWS, Azure, or Google Cloud) is often required. Experience in deploying machine learning models in production environments is highly valued.

Related salaries

Machine Learning Software Engineer @ $ 227,200 (global) - Senior-level / Expert Details

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