Salary for Mid-level / Intermediate Solutions Engineer during 2024

Salary details

The average mid-level / intermediate Solutions Engineer salary lies between USD 95,000 and USD 150,000 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. 10, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Solutions Engineer job listings are Engineering, Python and Machine Learning. 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 | 80 jobs Python | 74 jobs Machine Learning | 68 jobs Computer Science | 61 jobs Java | 34 jobs SQL | 31 jobs Consulting | 29 jobs Mathematics | 29 jobs Research | 28 jobs Architecture | 28 jobs Generative AI | 26 jobs JavaScript | 25 jobs GCP | 24 jobs Linux | 23 jobs PyTorch | 22 jobs TensorFlow | 21 jobs Transformers | 21 jobs APIs | 21 jobs Data Analytics | 20 jobs Google Cloud | 19 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Solutions Engineer job listings are Career development, Health care and Equity / stock options. 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 | 75 jobs Health care | 46 jobs Equity / stock options | 37 jobs Team events | 30 jobs Startup environment | 29 jobs Parental leave | 26 jobs 401(k) matching | 25 jobs Wellness | 25 jobs Medical leave | 22 jobs Salary bonus | 21 jobs Flex hours | 17 jobs Flex vacation | 17 jobs Competitive pay | 17 jobs Insurance | 10 jobs Conferences | 7 jobs Fitness / gym | 4 jobs Transparency | 4 jobs Unlimited paid time off | 4 jobs Flexible spending account | 3 jobs Gear | 2 jobs

Salary Composition

The salary for a Mid-level/Intermediate Solutions Engineer in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, accounting for 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, can make up the remaining 5-10%.

Regional differences play a significant role in salary composition. For instance, in tech hubs like Silicon Valley or New York, the base salary might be higher, but the cost of living is also elevated. In contrast, companies in smaller cities might offer lower base salaries but compensate with more substantial bonuses or stock options. Industry and company size also influence salary composition. Larger tech companies or those in high-demand industries may offer more competitive packages, including generous stock options and bonuses.

Increasing Salary

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

• Skill Enhancement: Continuously update your technical skills, especially in emerging AI/ML technologies. Proficiency in popular programming languages like Python, R, and frameworks like TensorFlow or PyTorch can be advantageous.
• Advanced Education: Pursuing a master's degree or specialized certifications in AI/ML can make you more competitive and justify a higher salary.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms. Networking can open doors to higher-paying opportunities.
• Leadership Roles: Seek opportunities to lead projects or teams. Demonstrating leadership skills can position you for promotions and salary increases.
• Negotiation Skills: Improve your negotiation skills to better advocate for salary increases during performance reviews or when switching jobs.

Educational Requirements

Most mid-level solutions engineer roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, data science, engineering, or mathematics. A strong foundation in these areas is crucial for understanding complex algorithms and data structures. Some positions may prefer candidates with a master's degree, especially if the role involves more advanced data analysis or machine learning tasks.

Helpful Certifications

Certifications can enhance your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

• Certified Data Scientist (CDS)
• AWS Certified Machine Learning – Specialty
• Google Professional Machine Learning Engineer
• Microsoft Certified: Azure AI Engineer Associate
• TensorFlow Developer Certificate

These certifications can validate your skills and knowledge, making you a more attractive candidate for higher-level positions.

Required Experience

Typically, a mid-level solutions engineer role requires 3-5 years of experience in a related field. This experience should include hands-on work with AI/ML models, data analysis, and software development. Experience in deploying machine learning models in production environments and collaborating with cross-functional teams is also highly valued.

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