Salary for Senior-level / Expert Fullstack Engineer during 2024

Salary details

The average senior-level / expert Fullstack Engineer salary lies between USD 150,000 and USD 217,900 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 Fullstack Engineer roles

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

Engineering | 44 jobs React | 41 jobs Python | 37 jobs JavaScript | 36 jobs TypeScript | 32 jobs Research | 30 jobs APIs | 28 jobs Machine Learning | 27 jobs Testing | 25 jobs Architecture | 25 jobs Angular | 21 jobs Kubernetes | 20 jobs LLMs | 20 jobs GraphQL | 18 jobs Pipelines | 18 jobs Privacy | 18 jobs AWS | 17 jobs Security | 17 jobs Generative AI | 16 jobs Microservices | 15 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Fullstack Engineer job listings are Career development, Equity / stock options 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 | 44 jobs Equity / stock options | 39 jobs Health care | 34 jobs Startup environment | 34 jobs Competitive pay | 32 jobs Medical leave | 24 jobs Parental leave | 20 jobs Flex hours | 20 jobs Team events | 18 jobs Flex vacation | 16 jobs Insurance | 16 jobs Salary bonus | 14 jobs 401(k) matching | 12 jobs Fitness / gym | 6 jobs Wellness | 5 jobs Home office stipend | 5 jobs Transparency | 4 jobs Unlimited paid time off | 3 jobs Gear | 2 jobs Conferences | 2 jobs

Salary Composition

The salary for a Senior-level/Expert Fullstack Engineer in AI/ML/Data Science typically comprises several components:

• Base Salary: This is the fixed annual amount and usually forms the largest portion of the total compensation. It can vary significantly based on the region, with tech hubs like Silicon Valley, New York, and Seattle offering higher base salaries compared to other regions.

• Bonus: Bonuses can be performance-based or company-wide and are often tied to individual, team, or company performance metrics. In tech companies, bonuses can range from 10% to 20% of the base salary.

• Equity/Stock Options: Many tech companies, especially startups and large tech firms, offer equity as part of the compensation package. This can be a significant portion of the total remuneration, especially in high-growth companies.

• Benefits and Perks: These can include health insurance, retirement plans, paid time off, and other perks like gym memberships, wellness programs, and more. The value of these benefits can vary widely depending on the company size and industry.

Increasing Salary Further

To increase your salary beyond the median level, consider the following strategies:

• Specialize in Niche Areas: Developing expertise in emerging areas like AI ethics, quantum computing, or advanced machine learning techniques can make you more valuable.

• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your earning potential. This might involve leading a team of engineers or managing large-scale projects.

• Continuous Learning: Stay updated with the latest technologies and trends in AI/ML. Attending workshops, conferences, and enrolling in advanced courses can enhance your skills and marketability.

• Networking: Building a strong professional network can open up opportunities for higher-paying roles. Engage with industry professionals through meetups, online forums, and social media platforms like LinkedIn.

Educational Requirements

For a Senior-level/Expert Fullstack Engineer role in AI/ML/Data Science, the following educational background is commonly required:

• Bachelor’s Degree: A degree in Computer Science, Engineering, Mathematics, or a related field is typically the minimum requirement.

• Master’s Degree or PhD: Many senior roles prefer candidates with advanced degrees, especially in specialized areas of AI/ML or Data Science.

• Relevant Coursework: Courses in machine learning, data structures, algorithms, and software engineering are highly beneficial.

Helpful Certifications

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

• Certified Machine Learning Professional (CMLP): This certification demonstrates expertise in machine learning concepts and applications.

• AWS Certified Machine Learning – Specialty: This is valuable for roles involving cloud-based AI/ML solutions.

• Google Professional Machine Learning Engineer: This certification is beneficial for those working with Google Cloud technologies.

• Microsoft Certified: Azure AI Engineer Associate: Useful for roles that involve Microsoft Azure AI services.

Required Experience

The typical experience required for this role includes:

• 5-10 Years of Experience: In software development, with a significant portion in fullstack development and AI/ML projects.

• Project Leadership: Experience in leading projects or teams, demonstrating the ability to manage complex technical challenges.

• Portfolio of Work: A strong portfolio showcasing successful AI/ML projects, contributions to open-source projects, or published research papers.

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