Salary for Mid-level / Intermediate Systems Engineer during 2024

Salary details

The average mid-level / intermediate Systems Engineer salary lies between USD 104,550 and USD 181,800 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 Mid-level / Intermediate Systems Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Systems Engineer job listings are Engineering, Python and Architecture. 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 | 79 jobs Python | 75 jobs Architecture | 48 jobs Machine Learning | 46 jobs Computer Science | 46 jobs Security | 42 jobs Testing | 39 jobs Research | 28 jobs Linux | 25 jobs Physics | 24 jobs Pipelines | 23 jobs Matlab | 20 jobs Kubernetes | 20 jobs SQL | 17 jobs Agile | 17 jobs AWS | 16 jobs Mathematics | 16 jobs Privacy | 16 jobs Java | 15 jobs Data Analytics | 13 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Systems Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Systems Engineer job listings are Career development, Health care and Insurance. 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 | 58 jobs Health care | 49 jobs Insurance | 31 jobs Flex hours | 29 jobs Equity / stock options | 28 jobs Flex vacation | 23 jobs Competitive pay | 23 jobs Parental leave | 20 jobs Salary bonus | 20 jobs Medical leave | 18 jobs Team events | 13 jobs 401(k) matching | 12 jobs Relocation support | 10 jobs Wellness | 8 jobs Startup environment | 8 jobs Signing bonus | 7 jobs Fertility benefits | 5 jobs Transparency | 4 jobs Conferences | 4 jobs Flexible spending account | 4 jobs

Salary Composition

The salary for a Mid-level/Intermediate Systems Engineer 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 package. 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 smaller bonuses. Industries such as finance or healthcare might offer different compensation structures, often with higher base salaries but fewer stock options compared to tech companies.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging areas like deep learning, natural language processing, or AI ethics can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Leadership Roles: Transitioning into a leadership or managerial role can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most mid-level positions in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for roles that involve complex problem-solving and advanced technical skills. A strong foundation in statistics, programming, and data analysis is essential.

Helpful Certifications

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

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Data Science Council of America (DASCA) Certifications

These certifications can help you stand out in a competitive job market and may lead to higher salary offers.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in systems engineering, data science, or a related field. Experience with specific tools and technologies such as Python, R, SQL, and machine learning frameworks is often required. Employers also look for experience in deploying machine learning models, data analysis, and working with large datasets.

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