Salary for Senior-level / Expert Machine Learning Quality Engineer in United States during 2024

Salary details

The average senior-level / expert Machine Learning Quality Engineer salary lies between USD 123,300 and USD 209,700 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. 22, 2024

Top 20 Job Tags for Senior-level / Expert Machine Learning Quality Engineer roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Quality Engineer job listings are Machine Learning, Testing and Java. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Machine Learning | 13 jobs Testing | 13 jobs Java | 12 jobs Python | 10 jobs Engineering | 10 jobs ML models | 8 jobs Selenium | 5 jobs JavaScript | 4 jobs Git | 4 jobs Maven | 4 jobs SDLC | 4 jobs Generative AI | 4 jobs Scrum | 3 jobs Agile | 3 jobs Research | 2 jobs PhD | 2 jobs Computer Science | 2 jobs OOP | 2 jobs Open Source | 1 jobs Kubernetes | 1 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Machine Learning Quality Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Quality Engineer job listings are Flex hours, 401(k) matching and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Flex hours | 12 jobs 401(k) matching | 6 jobs Equity / stock options | 6 jobs Health care | 6 jobs Competitive pay | 6 jobs Career development | 2 jobs

Salary Composition

In the United States, the salary for a Senior-level or Expert Machine Learning Quality Engineer 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 10-20% of the salary. Additional remuneration may 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 or New York City might offer higher base salaries and stock options, while smaller companies or those in less competitive regions might offer more in bonuses or benefits to attract talent.

Increasing Salary Further

To increase your salary beyond the median of USD 173,350, consider pursuing leadership roles such as a Machine Learning Manager or Director of AI/ML. These positions often come with higher compensation packages. Additionally, specializing in high-demand areas like deep learning, natural language processing, or AI ethics can make you more valuable. Networking within industry circles, attending conferences, and publishing research can also enhance your reputation and open doors to higher-paying opportunities. Finally, consider negotiating your salary by leveraging offers from other companies or demonstrating your impact on the organization’s bottom line.

Educational Requirements

Most Senior-level Machine Learning Quality Engineer positions require at least a bachelor's degree in computer science, data science, engineering, or a related field. However, a master's degree or Ph.D. is often preferred, especially for expert roles. These advanced degrees provide a deeper understanding of machine learning algorithms, statistical methods, and data analysis techniques, which are crucial for quality engineering in AI/ML.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials and demonstrate your expertise. Some valuable certifications include:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications can help you stay updated with the latest tools and technologies in the field and make you a more attractive candidate to employers.

Required Experience

Typically, a Senior-level Machine Learning Quality Engineer is expected to have 5-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and quality assurance processes. Experience in leading projects, mentoring junior engineers, and collaborating with cross-functional teams is also highly valued. A strong portfolio of successful projects and a proven track record of improving model performance and reliability can set you apart.

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