Salary for Mid-level / Intermediate Software Development Engineer during 2024

Salary details

The average mid-level / intermediate Software Development Engineer salary lies between USD 115,000 and USD 214,500 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. 10, 2024

Top 20 Job Tags for Mid-level / Intermediate Software Development Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Software Development Engineer job listings are Computer Science, Machine Learning and Engineering. 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:

Computer Science | 71 jobs Machine Learning | 62 jobs Engineering | 62 jobs Testing | 56 jobs Python | 53 jobs Architecture | 49 jobs AWS | 43 jobs Spark | 36 jobs SDLC | 34 jobs Java | 34 jobs Agile | 33 jobs Security | 28 jobs Big Data | 27 jobs Research | 27 jobs SQL | 25 jobs Pipelines | 21 jobs Distributed Systems | 19 jobs APIs | 19 jobs Deep Learning | 18 jobs Computer Vision | 17 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Software Development 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 | 71 jobs Equity / stock options | 36 jobs Startup environment | 31 jobs Team events | 27 jobs Competitive pay | 23 jobs Health care | 22 jobs Flex hours | 17 jobs Conferences | 11 jobs Medical leave | 11 jobs Insurance | 10 jobs Parental leave | 9 jobs Relocation support | 5 jobs Flex vacation | 4 jobs Salary bonus | 4 jobs Gear | 3 jobs Transparency | 3 jobs Signing bonus | 3 jobs Home office stipend | 3 jobs Wellness | 1 jobs Travel | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Software Development Engineer in AI/ML/Data Science typically comprises several components. The fixed base salary is the most significant portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company profits, usually make up 10-20%. Additional remuneration might include stock options, especially in tech companies or startups, and other benefits like health insurance, retirement contributions, and paid time off. 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 and flexible work arrangements.

Steps to Increase Salary

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

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
• Leadership Roles: Transitioning into a team lead or managerial position can significantly boost your salary.
• 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 positions at this level require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree is often preferred, especially for roles that involve complex data analysis or algorithm development. Some companies might also consider candidates with equivalent practical experience or a strong portfolio of projects.

Helpful Certifications

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

• 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 validate your skills and knowledge, making you a more attractive candidate for higher-paying roles.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in software development, with a focus on AI/ML or data science projects. Experience with programming languages like Python, R, or Java, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, is often expected. Practical experience in data analysis, model building, and deployment is crucial.

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