Frontend Engineer Salary in 2024

Salary details

The average Frontend Engineer salary lies between USD 132,000 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 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 | 41 jobs JavaScript | 39 jobs TypeScript | 35 jobs Machine Learning | 31 jobs Testing | 29 jobs Architecture | 28 jobs UX | 26 jobs Python | 25 jobs APIs | 25 jobs Angular | 25 jobs Computer Science | 22 jobs Research | 21 jobs AWS | 18 jobs Vue | 17 jobs LLMs | 16 jobs Security | 14 jobs Privacy | 14 jobs Open Source | 11 jobs GitHub | 11 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 | 49 jobs Equity / stock options | 28 jobs Startup environment | 26 jobs Flex vacation | 23 jobs Health care | 22 jobs Competitive pay | 19 jobs Flex hours | 18 jobs Parental leave | 16 jobs Team events | 14 jobs Salary bonus | 12 jobs Medical leave | 9 jobs Fitness / gym | 8 jobs Insurance | 8 jobs Wellness | 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

The salary for a Frontend Engineer in AI/ML/Data Science roles typically comprises several components. The fixed base salary is the largest portion, often accounting for 60-80% of the total compensation. 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 10-20% 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 might offer higher base salaries and stock options, while smaller companies might focus more on bonuses.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in the latest frontend technologies and AI/ML frameworks. Specializing in niche areas can make you more valuable.
• Advanced Roles: Aim for senior or lead positions, which naturally come with higher pay.
• Cross-Disciplinary Skills: Develop skills in backend development or data engineering to become a full-stack engineer, increasing your versatility and value.
• Networking: Engage with industry professionals through conferences, meetups, and online platforms to learn about higher-paying opportunities.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most positions require at least a bachelor's degree in computer science, software engineering, or a related field. However, a master's degree or higher in a specialized area like data science or AI can be advantageous and sometimes necessary for more advanced roles. Some companies may also consider equivalent practical experience in lieu of formal education.

Helpful Certificates

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

• 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 ML solutions on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Highlights your skills in using Azure AI services.

Required Experience

Typically, 3-5 years of experience in frontend development is required, with a focus on projects involving AI/ML or data science. Experience with JavaScript frameworks (like React or Angular), data visualization libraries, and collaboration with data scientists or ML engineers is often expected. Experience in agile development environments and familiarity with version control systems like Git are also common requirements.

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