Machine Learning Engineer Salary in 2023
💰 The median Machine Learning Engineer Salary in 2023 is USD 186,377
✏️ This salary info is based on 1068 individual salaries reported during 2023
Salary details
The average Machine Learning Engineer salary lies between USD 145,000 and USD 230,000 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 Engineer
- Experience
- all levels
- Region
- global/worldwide
- Salary year
- 2023
- Sample size
- 1068
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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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 2023 and the number of open jobs that where associated with them during that period:
Machine Learning | 1793 jobs Python | 1481 jobs Engineering | 1356 jobs Computer Science | 1038 jobs ML models | 1017 jobs PyTorch | 853 jobs TensorFlow | 782 jobs Research | 749 jobs Deep Learning | 730 jobs Pipelines | 703 jobs AWS | 651 jobs NLP | 610 jobs Statistics | 559 jobs Testing | 539 jobs Architecture | 529 jobs Mathematics | 462 jobs Java | 462 jobs SQL | 449 jobs Spark | 423 jobs GCP | 418 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 2023 and the number of open jobs that where offering them during that period:
Career development | 1495 jobs Health care | 752 jobs Flex hours | 644 jobs Equity / stock options | 631 jobs Startup environment | 531 jobs Flex vacation | 524 jobs Salary bonus | 479 jobs Competitive pay | 419 jobs Team events | 401 jobs Parental leave | 391 jobs Insurance | 339 jobs Medical leave | 322 jobs Wellness | 256 jobs 401(k) matching | 195 jobs Home office stipend | 176 jobs Conferences | 134 jobs Unlimited paid time off | 118 jobs Relocation support | 92 jobs Signing bonus | 84 jobs Flexible spending account | 83 jobsSalary Composition for Machine Learning Engineers
The salary for a Machine Learning Engineer typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer substantial stock options as part of the compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with higher bonuses or benefits. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of the work. Larger companies often provide more comprehensive benefits and stock options, while startups might offer equity as a significant part of the package to attract talent.
Steps to Increase Salary
To increase your salary from a Machine Learning Engineer position, consider the following strategies:
- Specialize in High-Demand Areas: Focus on niche areas like deep learning, natural language processing, or computer vision, which are in high demand.
- Pursue Advanced Education: Obtaining a master's or Ph.D. in a relevant field can open doors to higher-paying roles.
- Gain Leadership Experience: Transitioning into a lead or managerial role can significantly boost your salary.
- Negotiate Effectively: Develop strong negotiation skills to ensure you receive competitive offers.
- Switch Companies: Sometimes, moving to a new company can result in a substantial salary increase.
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. due to the complex nature of the work. Advanced degrees often provide a deeper understanding of machine learning algorithms and data analysis techniques, which are crucial for the role.
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 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 data science roles. Experience with programming languages such as Python or R, familiarity with machine learning frameworks like TensorFlow or PyTorch, and a strong understanding of data structures and algorithms are often required. Experience in deploying machine learning models in production environments is also highly valued.
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