Salary for Mid-level / Intermediate Machine Learning Engineer during 2021

Salary details

The average mid-level / intermediate Machine Learning Engineer salary lies between USD 47,282 and USD 77,364 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: Dec. 29, 2024

Salary trend

Salary Composition for a Mid-level Machine Learning Engineer

The salary for a mid-level machine learning engineer typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size.

• Region: In tech hubs like Silicon Valley, New York, or Seattle, the base salary tends to be higher due to the cost of living and competition for talent. In contrast, regions with a lower cost of living may offer a smaller base salary but could compensate with other benefits.

• Industry: Industries such as finance, healthcare, and technology often offer higher salaries due to the critical nature of data-driven decision-making in these fields. Startups might offer lower base salaries but compensate with equity or stock options.

• Company Size: Larger companies may offer more comprehensive benefits packages and bonuses, while smaller companies might provide more significant equity stakes or flexible working conditions.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a mid-level 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 degree or Ph.D. in a related field can open up higher-paying opportunities and leadership roles.

• Networking: Engage with professional communities, attend conferences, and participate in workshops to expand your network and learn about new opportunities.

• Performance and Negotiation: Consistently demonstrate your value through successful projects and be prepared to negotiate your salary during performance reviews or when offered a new position.

Educational Requirements for a Mid-level Machine Learning Engineer

Most mid-level machine learning engineer positions require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. A strong foundation in programming, algorithms, and data structures is essential. Some positions may prefer candidates with a master's degree or relevant work experience that demonstrates expertise in machine learning.

Helpful Certifications for Machine Learning Engineers

While not always required, certain certifications can enhance your resume and demonstrate your commitment to the field:

• 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.

Experience Required for Mid-level Positions

Typically, a mid-level machine learning engineer is expected to have 2-5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in deploying models to production and working in cross-functional teams is also highly valued.

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