Salary for Senior-level / Expert Frontend Engineer during 2024

Salary details

The average senior-level / expert Frontend Engineer salary lies between USD 135,000 and USD 210,000 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. 17, 2024

Top 20 Job Tags for Senior-level / Expert Frontend Engineer roles

The three most common job tag items assiciated with senior-level / expert Frontend Engineer job listings are React, Engineering and JavaScript. 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:

React | 31 jobs Engineering | 28 jobs JavaScript | 24 jobs TypeScript | 24 jobs Machine Learning | 21 jobs UX | 21 jobs Architecture | 21 jobs Testing | 20 jobs Angular | 20 jobs APIs | 16 jobs Computer Science | 15 jobs Python | 13 jobs Research | 13 jobs AWS | 12 jobs Vue | 12 jobs LLMs | 12 jobs Privacy | 9 jobs Security | 8 jobs D3 | 7 jobs CI/CD | 7 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Frontend Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Frontend Engineer job listings are Career development, Equity / stock options and Startup environment. 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 | 32 jobs Equity / stock options | 19 jobs Startup environment | 19 jobs Flex vacation | 15 jobs Competitive pay | 14 jobs Parental leave | 12 jobs Health care | 12 jobs Flex hours | 10 jobs Medical leave | 8 jobs Fitness / gym | 7 jobs Salary bonus | 7 jobs Team events | 6 jobs Insurance | 5 jobs Unlimited paid time off | 5 jobs Home office stipend | 4 jobs Wellness | 3 jobs Transparency | 3 jobs Lunch / meals | 1 jobs Relocation support | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Frontend Engineer in AI/ML/Data Science 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 company-wide, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies or startups, and can account for 5-10% of the total package. The 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 more substantial stock options, while smaller companies might compensate with higher bonuses or other benefits.

Increasing Salary Further

To increase your salary beyond the median of USD 190,000, consider pursuing leadership roles such as Engineering Manager or Director of Engineering. These positions often come with higher pay and additional responsibilities. Specializing in a niche area within AI/ML, such as natural language processing or computer vision, can also make you more valuable. Additionally, contributing to open-source projects, speaking at conferences, or publishing papers can enhance your reputation and lead to higher-paying opportunities. Networking within the industry and staying updated with the latest technologies and trends can also open doors to lucrative positions.

Educational Requirements

Most senior-level frontend engineering roles in AI/ML/Data Science require at least a bachelor's degree in computer science, software engineering, or a related field. However, a master's degree or even a Ph.D. can be advantageous, especially if your work involves complex AI/ML algorithms or data science methodologies. Advanced degrees can provide a deeper understanding of the theoretical aspects of AI/ML, which can be crucial for developing innovative solutions.

Helpful Certifications

While not always mandatory, certain certifications can bolster your credentials. Certifications in AI/ML from recognized institutions like Stanford or MIT, or online platforms like Coursera or edX, can be beneficial. Additionally, certifications in specific frontend technologies, such as React, Angular, or Vue.js, can demonstrate your expertise in the tools most relevant to your role. AWS Certified Machine Learning or Google Professional Machine Learning Engineer certifications can also be valuable, especially if your role involves deploying AI/ML models in cloud environments.

Required Experience

Typically, a senior-level frontend engineer in AI/ML/Data Science is expected to have at least 5-10 years of experience in software development, with a significant portion of that time spent in frontend development. Experience in AI/ML projects, either through professional work or personal projects, is highly desirable. Familiarity with data visualization libraries and tools, as well as experience working in cross-functional teams with data scientists and backend engineers, is often required.

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