Salary for Mid-level / Intermediate Research Engineer in United States during 2024

Salary details

The average mid-level / intermediate Research Engineer salary lies between USD 141,340 and USD 256,500 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 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:

Research | 261 jobs Engineering | 216 jobs Python | 157 jobs Machine Learning | 156 jobs Computer Science | 126 jobs Security | 87 jobs PyTorch | 86 jobs PhD | 85 jobs Deep Learning | 72 jobs Statistics | 72 jobs TensorFlow | 66 jobs NLP | 60 jobs R | 59 jobs LLMs | 54 jobs Testing | 53 jobs Architecture | 46 jobs Computer Vision | 43 jobs Physics | 41 jobs R&D | 40 jobs Java | 40 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 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 | 178 jobs Health care | 96 jobs Equity / stock options | 71 jobs Flex hours | 63 jobs Competitive pay | 47 jobs Conferences | 45 jobs Flex vacation | 43 jobs Startup environment | 41 jobs Parental leave | 37 jobs Insurance | 36 jobs Medical leave | 34 jobs Relocation support | 32 jobs Team events | 28 jobs Salary bonus | 24 jobs 401(k) matching | 23 jobs Wellness | 17 jobs Unlimited paid time off | 13 jobs Home office stipend | 8 jobs Flexible spending account | 8 jobs Gear | 7 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Research Engineer in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies or startups and can be a significant part of the total compensation, especially in regions like Silicon Valley. The composition can also vary by industry, with finance and tech sectors often offering higher bonuses and equity compared to academia or smaller companies.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging 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., can open doors to more advanced roles and higher pay.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly increase your earning potential.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Certifications: Obtaining relevant certifications can demonstrate your expertise and commitment to the field, potentially leading to salary increases.

Educational Requirements

Most mid-level research engineer positions in AI/ML/Data Science require at least a master's degree in a related field such as computer science, data science, statistics, or electrical engineering. A strong foundation in mathematics and programming is essential. Some positions may accept a bachelor's degree if accompanied by significant relevant experience or exceptional skills.

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

These certifications can validate your skills and knowledge, making you a more attractive candidate to employers.

Required Experience

Typically, a mid-level research engineer role requires 3-5 years of experience in AI/ML or data science. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in research, either in academia or industry, is highly valued, as it demonstrates the ability to conduct experiments and contribute to innovative projects.

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