Salary for Senior-level / Expert Member of Technical Staff during 2024

Salary details

The average senior-level / expert Member of Technical Staff salary lies between USD 117,200 and USD 260,000 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: Dec. 22, 2024

Top 20 Job Tags for Senior-level / Expert Member of Technical Staff roles

The three most common job tag items assiciated with senior-level / expert 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 | 160 jobs Engineering | 151 jobs Python | 134 jobs Computer Science | 115 jobs Architecture | 98 jobs Java | 95 jobs Research | 74 jobs Security | 74 jobs Distributed Systems | 71 jobs Oracle | 70 jobs LLMs | 69 jobs AWS | 66 jobs Testing | 59 jobs Kubernetes | 49 jobs Pipelines | 46 jobs Agile | 40 jobs APIs | 38 jobs Azure | 37 jobs CI/CD | 33 jobs Big Data | 32 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Member of Technical Staff roles

The three most common job benefits and perks assiciated with senior-level / expert 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 | 155 jobs Health care | 87 jobs Medical leave | 82 jobs Flex hours | 78 jobs Insurance | 73 jobs Startup environment | 61 jobs Equity / stock options | 59 jobs Parental leave | 54 jobs Flex vacation | 50 jobs Salary bonus | 50 jobs Competitive pay | 47 jobs 401(k) matching | 37 jobs Flexible spending account | 36 jobs Team events | 34 jobs Conferences | 11 jobs Lunch / meals | 9 jobs Relocation support | 9 jobs Home office stipend | 8 jobs Unlimited paid time off | 7 jobs Wellness | 4 jobs

Salary Composition

The salary for a Senior-level or Expert Member of Technical Staff in AI/ML/Data Science typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly depending on the region, industry, and company size.

• Region: In tech hubs like Silicon Valley, New York, or Seattle, the base salary might be higher due to the cost of living and competitive market. In contrast, regions with a lower cost of living might offer a lower base salary but compensate with other benefits.
• Industry: Industries such as finance or healthcare might offer higher bonuses due to the critical nature of data-driven decisions in these fields. Tech companies might provide more in terms of stock options.
• Company Size: Larger companies often have structured salary bands and might offer more comprehensive benefits packages, while startups might offer lower base salaries but higher equity stakes.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Leadership Roles: Transitioning into leadership roles such as AI/ML team lead or director can significantly increase your earning potential.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms. Networking can open up opportunities for higher-paying roles.
• Consulting: Offering your expertise as a consultant can provide additional income streams and increase your market value.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a master's degree in a related field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles focused on research and development. Employers often look for candidates with a strong foundation in algorithms, data structures, and statistical modeling.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications demonstrate your commitment to the field and your proficiency with specific tools and platforms.

Required Experience

Typically, a senior-level position requires 5-10 years of experience in AI/ML or data science roles. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects or teams is often a plus, as it demonstrates your ability to manage complex tasks and collaborate effectively.

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