Salary for Mid-level / Intermediate Machine Learning Quality Engineer in United States during 2024

Salary details

The average mid-level / intermediate Machine Learning Quality Engineer salary lies between USD 121,600 and USD 188,400 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 1, 2024

Salary Composition

The salary for a Mid-level/Intermediate Machine Learning Quality Engineer in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up about 10-15%. Additional remuneration might include stock options, especially in tech companies, and other benefits such as health insurance, retirement contributions, and paid time off. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley may offer higher base salaries and more substantial stock options, while smaller companies might provide more flexible work arrangements or additional perks to attract talent.

Steps to Increase Salary

To increase your salary from this position, consider pursuing advanced roles such as Senior Machine Learning Engineer or transitioning into a managerial position like Machine Learning Team Lead. Gaining expertise in high-demand areas such as deep learning, natural language processing, or AI ethics can also make you more valuable. Networking within industry circles and attending relevant conferences can open up opportunities for higher-paying roles. Additionally, obtaining advanced certifications or a master's degree in a related field can enhance your qualifications and bargaining power during salary negotiations.

Educational Requirements

Most positions for a Mid-level/Intermediate Machine Learning Quality Engineer 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, especially for roles that involve complex problem-solving and advanced algorithm development. A strong foundation in statistics, programming, and machine learning principles is essential, and coursework in data analysis, software engineering, and quality assurance can be particularly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Certifications such as the TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, or the Microsoft Certified: Azure AI Engineer Associate are well-regarded in the industry. These certifications validate your skills in specific tools and platforms, which can be advantageous when applying for roles that require expertise in those areas.

Required Experience

Typically, a Mid-level/Intermediate Machine Learning Quality Engineer is expected to have 3-5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and quality assurance processes. Experience in software development and familiarity with programming languages such as Python, R, or Java is often required. Additionally, experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is highly beneficial.

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