Salary for Mid-level / Intermediate Research Engineer during 2023

Salary details

The average mid-level / intermediate Research Engineer salary lies between USD 100,000 and USD 200,000 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. 24, 2024

Salary trend

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

The three most common job tag items assiciated with mid-level / intermediate Research Engineer job listings are Research, Engineering and Machine Learning. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Research | 50 jobs Engineering | 36 jobs Machine Learning | 34 jobs Python | 33 jobs Computer Science | 27 jobs PhD | 19 jobs Architecture | 16 jobs Security | 15 jobs PyTorch | 14 jobs Testing | 14 jobs TensorFlow | 12 jobs Java | 9 jobs R | 8 jobs Linux | 8 jobs Agile | 8 jobs R&D | 8 jobs Deep Learning | 7 jobs NLP | 7 jobs AWS | 7 jobs ML models | 7 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Research Engineer job listings are Career development, Health care and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 42 jobs Health care | 26 jobs Competitive pay | 20 jobs Flex vacation | 16 jobs Equity / stock options | 15 jobs Flex hours | 14 jobs Startup environment | 14 jobs Conferences | 12 jobs Team events | 12 jobs Insurance | 9 jobs Salary bonus | 9 jobs Medical leave | 7 jobs 401(k) matching | 6 jobs Parental leave | 6 jobs Unlimited paid time off | 5 jobs Wellness | 3 jobs Home office stipend | 2 jobs Flat hierarchy | 1 jobs Gear | 1 jobs Fitness / gym | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Research Engineer in AI/ML/Data Science typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company’s performance and individual achievements. Additional remuneration might include stock options, especially in tech companies, and benefits like health insurance, retirement plans, and paid time off.

The composition can vary based on region, industry, and company size. For instance, tech hubs like Silicon Valley or New York City might offer higher base salaries and stock options, while companies in other regions might focus more on bonuses. Larger companies often provide more comprehensive benefits packages, whereas startups might offer more equity to compensate for lower base salaries.

Increasing Salary

To increase your salary from a Mid-level/Intermediate position, consider the following steps:

• Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.

• Advanced Education: Pursuing a higher degree, such as a Ph.D., or specialized certifications can position you for senior roles.

• Networking: Engage with industry professionals through conferences, workshops, and online platforms. Networking can open up opportunities for higher-paying positions.

• Leadership Roles: Seek opportunities to lead projects or teams, as leadership experience can significantly boost your earning potential.

• Switching Companies: Sometimes, moving to a different company can result in a substantial salary increase, especially if the new company values your specific skill set more highly.

Educational Requirements

Most mid-level research engineer positions in AI/ML/Data Science 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 and can be a significant advantage. Advanced degrees demonstrate a deeper understanding of complex concepts and methodologies, which is crucial for research roles.

Helpful Certifications

While not always required, 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

These certifications validate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level position requires 3-5 years of experience in AI/ML or data science roles. This experience should include hands-on work with machine learning models, data analysis, and possibly some research experience. Experience in deploying models into production and working with large datasets is also highly valued.

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