Salary for Senior-level / Expert Frontend Engineer in United States during 2024

Salary details

The average senior-level / expert Frontend Engineer salary lies between USD 135,000 and USD 210,000 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: Nov. 10, 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 | 27 jobs JavaScript | 24 jobs TypeScript | 23 jobs Machine Learning | 21 jobs UX | 20 jobs Architecture | 20 jobs Testing | 19 jobs Angular | 19 jobs APIs | 16 jobs Computer Science | 14 jobs Python | 13 jobs AWS | 12 jobs Research | 12 jobs Vue | 12 jobs LLMs | 12 jobs Security | 8 jobs Privacy | 8 jobs CI/CD | 7 jobs Open Source | 6 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 | 31 jobs Equity / stock options | 18 jobs Startup environment | 18 jobs Flex vacation | 14 jobs Competitive pay | 14 jobs Parental leave | 12 jobs Health care | 12 jobs Flex hours | 10 jobs Medical leave | 8 jobs Salary bonus | 7 jobs Fitness / gym | 6 jobs Team events | 5 jobs Unlimited paid time off | 5 jobs Insurance | 4 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

In the United States, the salary composition for a Senior-level or Expert Frontend Engineer in AI/ML/Data Science typically includes a combination of base salary, bonuses, and additional remuneration such as stock options or equity. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually make up about 10-20%. Additional remuneration, such as stock options or equity, can vary significantly depending on the company size and industry. For instance, tech giants and startups in Silicon Valley might offer substantial equity packages, while companies in other regions or industries might focus more on cash bonuses.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in cutting-edge technologies and frameworks relevant to AI/ML and frontend development.
• Leadership Roles: Transition into leadership or managerial roles, such as a Lead Engineer or Engineering Manager, which often come with higher pay.
• Specialization: Develop expertise in niche areas within AI/ML or frontend development that are in high demand but have a limited talent pool.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation: Improve your negotiation skills to better advocate for higher compensation during job offers or performance reviews.

Educational Requirements

Most positions at this level 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 systems. Advanced degrees can also help differentiate you from other candidates and justify higher salary demands.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to professional development. Some valuable certifications include:

• Certified Frontend Developer: Validates your expertise in frontend technologies.
• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing and building ML models.
• AWS Certified Machine Learning – Specialty: Shows your ability to implement machine learning solutions on the AWS platform.
• Microsoft Certified: Azure AI Engineer Associate: Highlights your skills in using Azure AI services.

Required Experience

Typically, a Senior-level or Expert 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 focused on frontend technologies. Experience in AI/ML projects, either through direct work or collaboration with data science teams, is highly valued. Demonstrated experience in leading projects or teams can also be crucial for securing a senior-level position.

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