Member of Technical Staff Salary in United States during 2024

Salary details

The average Member of Technical Staff salary lies between USD 117,200 and USD 260,000 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 Member of Technical Staff roles

The three most common job tag items assiciated with Member of Technical Staff job listings are Machine Learning, Engineering and Python. 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 | 163 jobs Engineering | 153 jobs Python | 134 jobs Computer Science | 116 jobs Architecture | 100 jobs Java | 96 jobs Security | 75 jobs Research | 74 jobs Distributed Systems | 72 jobs Oracle | 70 jobs LLMs | 70 jobs AWS | 67 jobs Testing | 61 jobs Kubernetes | 49 jobs Pipelines | 46 jobs Agile | 42 jobs Azure | 38 jobs APIs | 38 jobs CI/CD | 35 jobs Big Data | 32 jobs

Top 20 Job Perks/Benefits for Member of Technical Staff roles

The three most common job benefits and perks assiciated with Member of Technical Staff job listings are Career development, Health care and Medical leave. 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:

Career development | 157 jobs Health care | 88 jobs Medical leave | 83 jobs Flex hours | 80 jobs Insurance | 73 jobs Startup environment | 62 jobs Equity / stock options | 60 jobs Parental leave | 55 jobs Flex vacation | 50 jobs Salary bonus | 50 jobs Competitive pay | 48 jobs 401(k) matching | 37 jobs Flexible spending account | 36 jobs Team events | 35 jobs Conferences | 11 jobs Lunch / meals | 9 jobs Relocation support | 9 jobs Home office stipend | 9 jobs Unlimited paid time off | 7 jobs Wellness | 4 jobs

Salary Composition

The salary for a Member of Technical Staff (MTS) in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. Additional remuneration, like stock options, is more common in larger tech companies or startups, where equity is used as an incentive to attract and retain talent. The composition can also vary by region, with tech hubs like Silicon Valley offering higher base salaries and more substantial equity packages compared to other regions. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or non-profits.

Increasing Salary

To increase your salary from the MTS position, consider pursuing advanced roles such as Senior MTS, Principal Engineer, or Technical Lead. These roles often require a combination of technical expertise, leadership skills, and a proven track record of successful projects. Additionally, gaining specialized skills in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable. Networking within the industry, attending conferences, and contributing to open-source projects can also enhance your visibility and open up higher-paying opportunities. Pursuing further education, such as a Ph.D. or an MBA, can also be beneficial, depending on your career goals.

Educational Requirements

Most MTS roles in AI/ML/Data Science require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex problem-solving and research. These advanced degrees provide a deeper understanding of machine learning algorithms, data analysis techniques, and statistical modeling, which are crucial for success in this field.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. 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 validate your skills in specific tools and platforms, making you more competitive in the job market.

Required Experience

Typically, an MTS role requires several years of experience in software development, data analysis, or a related field. Experience with machine learning frameworks, data visualization tools, and programming languages like Python, R, or Java is often essential. Employers also look for experience in deploying machine learning models in production environments and working with large datasets. Prior experience in a similar role or industry can be advantageous.

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