Full Stack Developer Salary in 2024

Salary details

The average Full Stack Developer salary lies between USD 91,000 and USD 147,000 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 Full Stack Developer roles

The three most common job tag items assiciated with Full Stack Developer job listings are Python, Engineering and React. 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:

Python | 195 jobs Engineering | 155 jobs React | 146 jobs APIs | 138 jobs Machine Learning | 127 jobs Agile | 124 jobs Architecture | 121 jobs JavaScript | 105 jobs Computer Science | 100 jobs Java | 100 jobs Azure | 95 jobs AWS | 92 jobs SQL | 86 jobs Security | 86 jobs Testing | 79 jobs Angular | 77 jobs Docker | 76 jobs Node.js | 75 jobs Git | 71 jobs TypeScript | 70 jobs

Top 20 Job Perks/Benefits for Full Stack Developer roles

The three most common job benefits and perks assiciated with Full Stack Developer job listings are Career development, Flex hours and Health care. 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 | 172 jobs Flex hours | 77 jobs Health care | 60 jobs Startup environment | 51 jobs Team events | 40 jobs Insurance | 30 jobs Flex vacation | 29 jobs Competitive pay | 27 jobs Parental leave | 25 jobs Medical leave | 22 jobs Equity / stock options | 21 jobs Salary bonus | 20 jobs 401(k) matching | 18 jobs Wellness | 14 jobs Flexible spending account | 11 jobs Fitness / gym | 8 jobs Relocation support | 6 jobs Transparency | 3 jobs Gear | 2 jobs Conferences | 2 jobs

Salary Composition

The salary for a Full Stack Developer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options can be substantial, especially in larger companies or startups with high growth potential. In contrast, smaller companies or those in regions with a lower cost of living might offer a higher base salary with fewer bonuses or stock options.

Increasing Salary Potential

To increase your salary from this position, consider specializing in high-demand areas within AI/ML, such as deep learning, natural language processing, or computer vision. Gaining expertise in these areas can make you more valuable to employers. Additionally, pursuing leadership roles or transitioning into a managerial position can lead to higher compensation. Networking within the industry and staying updated with the latest trends and technologies can also open up opportunities for higher-paying roles. Finally, consider relocating to regions with higher salary benchmarks for tech roles, such as the San Francisco Bay Area or New York City.

Educational Requirements

Most Full Stack Developer 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 Ph.D. in a specialized area of AI/ML can be advantageous and sometimes necessary for more advanced positions. Employers often look for candidates with a strong foundation in mathematics, statistics, and programming, as these skills are crucial for developing and implementing AI/ML models.

Helpful Certifications

Certifications can enhance your resume and demonstrate your expertise to potential employers. Some valuable certifications include:

• Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models.
• AWS Certified Machine Learning – Specialty: Demonstrates your skills in building, training, and deploying ML models on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure services to build AI solutions.
• TensorFlow Developer Certificate: Shows proficiency in using TensorFlow for machine learning and deep learning tasks.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in software development, with a focus on full-stack development. Experience in AI/ML projects, either through professional work or personal projects, is highly valued. Familiarity with relevant tools and frameworks, such as TensorFlow, PyTorch, or scikit-learn, is often required. Experience in deploying AI/ML models in production environments and working with cloud platforms like AWS, Azure, or Google Cloud can also be beneficial.

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