Salary for Mid-level / Intermediate Machine Learning Engineer during 2022

Salary details

The average mid-level / intermediate Machine Learning Engineer salary lies between USD 90,000 and USD 130,000 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.

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 Mid-level / Intermediate Machine Learning Engineer roles

The three most common job tag items assiciated with mid-level / intermediate 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 | 124 jobs Python | 108 jobs Engineering | 75 jobs AWS | 59 jobs Computer Science | 59 jobs ML models | 55 jobs TensorFlow | 52 jobs Research | 52 jobs PyTorch | 49 jobs Pipelines | 48 jobs NLP | 42 jobs Deep Learning | 36 jobs Testing | 36 jobs Spark | 31 jobs SQL | 30 jobs Docker | 28 jobs Big Data | 27 jobs Agile | 27 jobs Scikit-learn | 26 jobs PhD | 26 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Machine Learning Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Engineer job listings are Career development, Health care and Team events. 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 | 110 jobs Health care | 57 jobs Team events | 34 jobs Flex hours | 33 jobs Equity / stock options | 31 jobs Competitive pay | 31 jobs Startup environment | 29 jobs Flex vacation | 25 jobs Conferences | 25 jobs Parental leave | 20 jobs Unlimited paid time off | 20 jobs Salary bonus | 14 jobs Fitness / gym | 10 jobs Insurance | 10 jobs Relocation support | 8 jobs Home office stipend | 7 jobs Gear | 5 jobs Medical leave | 5 jobs 401(k) matching | 4 jobs Wellness | 4 jobs

Salary Composition

The salary for a mid-level Machine Learning Engineer typically consists of a 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. In tech hubs like Silicon Valley, the base salary might be higher, but companies often offer 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 packages, including health insurance, retirement plans, and professional development opportunities.

Increasing Salary

To increase your salary from a mid-level 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 relevant field can open doors to higher-paying roles.
• Networking: Engage with professional networks and communities. Attending conferences and meetups can lead to new opportunities.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to higher compensation.
• Industry Switch: Moving to a higher-paying industry, such as finance or tech, can result in a salary increase.

Educational Requirements

Most mid-level Machine Learning 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 higher, especially for roles that involve complex problem-solving and research. A strong foundation in statistics, linear algebra, and programming is essential.

Helpful Certifications

While not always required, 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, a mid-level Machine Learning Engineer is expected to have 3-5 years of experience in the field. 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 required. Additionally, experience in deploying models to production and working in cross-functional teams is highly valued.

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