Salary for Mid-level / Intermediate Machine Learning Researcher during 2022

Salary details

The average mid-level / intermediate Machine Learning Researcher salary lies between USD 100,000 and USD 130,000 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: Oct. 28, 2024

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Machine Learning Researcher roles

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Researcher job listings are Machine Learning, Research and Computer Science. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

Machine Learning | 9 jobs Research | 8 jobs Computer Science | 8 jobs Python | 7 jobs Deep Learning | 6 jobs PhD | 6 jobs PyTorch | 5 jobs Statistics | 5 jobs R | 4 jobs Big Data | 4 jobs TensorFlow | 4 jobs R&D | 4 jobs Physics | 4 jobs Engineering | 3 jobs Security | 3 jobs ML models | 3 jobs Bayesian | 3 jobs Mathematics | 3 jobs Generative modeling | 3 jobs NLP | 2 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Machine Learning Researcher roles

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Researcher 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 2022 and the number of open jobs that where offering them during that period:

Career development | 8 jobs Health care | 4 jobs Competitive pay | 4 jobs Conferences | 4 jobs Wellness | 3 jobs Equity / stock options | 2 jobs Flex vacation | 2 jobs Startup environment | 2 jobs Flex hours | 1 jobs Gear | 1 jobs Team events | 1 jobs Relocation support | 1 jobs Medical leave | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Mid-level/Intermediate Machine Learning Researcher typically consists of a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but the cost of living is also elevated. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with generous bonuses or stock options. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of the work. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities.

Increasing Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest tools and technologies in AI/ML. Specializing in high-demand areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open doors to higher-paying roles.
• Networking: Engage with professional communities, attend conferences, and participate in workshops to expand your network and learn about new opportunities.
• Leadership Roles: Seek opportunities to lead projects or teams, as managerial experience can significantly boost your earning potential.
• Switching Companies: Sometimes, moving to a new company can result in a substantial salary increase, especially if you have gained significant experience and skills.

Educational Requirements

Most mid-level machine learning researcher positions require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for research-intensive roles. These advanced degrees provide a deeper understanding of complex algorithms and the theoretical foundations of machine learning, which are crucial for developing innovative solutions.

Helpful Certificates

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field. Some valuable certifications include:

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• TensorFlow Developer Certificate

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

Required Experience

Typically, a mid-level machine learning researcher is expected to have 3-5 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and programming in languages such as Python or R. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn is also essential. Additionally, experience in deploying models in production environments and working in cross-functional teams can be highly beneficial.

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