Frontend Engineer Salary in United States during 2024

Salary details

The average Frontend Engineer salary lies between USD 132,000 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 Frontend Engineer roles

The three most common job tag items assiciated with 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 | 53 jobs Engineering | 40 jobs JavaScript | 39 jobs TypeScript | 34 jobs Machine Learning | 31 jobs Testing | 28 jobs Architecture | 27 jobs Python | 25 jobs UX | 25 jobs APIs | 25 jobs Angular | 24 jobs Computer Science | 21 jobs Research | 20 jobs AWS | 18 jobs Vue | 17 jobs LLMs | 16 jobs Security | 14 jobs Privacy | 13 jobs Open Source | 11 jobs Agile | 10 jobs

Top 20 Job Perks/Benefits for Frontend Engineer roles

The three most common job benefits and perks assiciated with 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 | 48 jobs Equity / stock options | 27 jobs Startup environment | 25 jobs Flex vacation | 22 jobs Health care | 22 jobs Competitive pay | 19 jobs Flex hours | 18 jobs Parental leave | 16 jobs Team events | 13 jobs Salary bonus | 12 jobs Medical leave | 9 jobs Wellness | 7 jobs Fitness / gym | 7 jobs Insurance | 7 jobs Unlimited paid time off | 7 jobs Home office stipend | 6 jobs Conferences | 4 jobs Transparency | 3 jobs Relocation support | 3 jobs 401(k) matching | 2 jobs

Salary Composition

In the United States, the salary composition for a Frontend Engineer specializing in AI/ML/Data Science can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is divided into three main components:

• Base Salary: This is the fixed annual salary and usually constitutes the largest portion of the total compensation. In tech hubs like San Francisco or New York, the base salary might be higher due to the cost of living and competitive job market.

• Bonus: Bonuses can be performance-based or company-wide and are often paid annually. They can range from 10% to 20% of the base salary, depending on the company's performance and individual contributions.

• Additional Remuneration: This includes stock options, equity, or restricted stock units (RSUs), which are common in tech companies, especially startups and large corporations. These can significantly increase total compensation, particularly if the company performs well.

Increasing Salary Further

To increase your salary beyond the median of USD 190,000, consider the following steps:

• Specialize Further: Gain expertise in niche areas within AI/ML, such as natural language processing or computer vision, which are in high demand.

• Leadership Roles: Transition into roles that involve team leadership or project management, as these often come with higher pay.

• Continuous Learning: Stay updated with the latest technologies and trends in AI/ML and frontend development. This could involve taking advanced courses or attending industry conferences.

• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into salary negotiations.

Educational Requirements

For a Frontend Engineer role in AI/ML/Data Science, the most common educational requirements include:

• Bachelor’s Degree: Typically in Computer Science, Software Engineering, or a related field. This provides a solid foundation in programming and software development.

• Master’s Degree: While not always required, a master’s degree in Data Science, AI, or a related field can be advantageous and may lead to higher starting salaries.

Helpful Certificates

While not mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field:

• Certified Data Scientist (CDS): Validates your skills in data science and analytics.

• Google Professional Machine Learning Engineer: Demonstrates proficiency in designing, building, and productionizing ML models.

• AWS Certified Machine Learning – Specialty: Shows expertise in using AWS services for machine learning.

Required Experience

The usual experience required for this role includes:

• Frontend Development: At least 3-5 years of experience in frontend development, with a strong portfolio showcasing your work.

• AI/ML Projects: Experience working on AI/ML projects, either through professional work or personal projects, is highly valued.

• Cross-Functional Collaboration: Experience working with data scientists, backend engineers, and product teams to deliver integrated solutions.

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