Salary for Mid-level / Intermediate Machine Learning Researcher during 2024

Salary details

The average mid-level / intermediate Machine Learning Researcher salary lies between USD 138,900 and USD 220,000 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. 17, 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 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:

Machine Learning | 18 jobs Research | 17 jobs Engineering | 14 jobs PhD | 13 jobs Deep Learning | 12 jobs PyTorch | 12 jobs Computer Science | 11 jobs ML models | 10 jobs Python | 9 jobs TensorFlow | 8 jobs Diffusion models | 8 jobs Generative AI | 8 jobs NLP | 7 jobs R | 6 jobs Architecture | 6 jobs Statistics | 6 jobs JAX | 6 jobs Scikit-learn | 5 jobs Transformers | 5 jobs Computer Vision | 4 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, Conferences and Health care. 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 | 15 jobs Conferences | 12 jobs Health care | 4 jobs Startup environment | 4 jobs Competitive pay | 4 jobs Salary bonus | 4 jobs Flex hours | 3 jobs Flex vacation | 3 jobs Equity / stock options | 2 jobs Parental leave | 2 jobs Team events | 2 jobs Medical leave | 2 jobs Transparency | 1 jobs Insurance | 1 jobs

Salary Composition for a Mid-level Machine Learning Researcher

The salary for a mid-level machine learning researcher typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly depending on the region, industry, and company size.

• Region: In tech hubs like Silicon Valley, New York, or Seattle, the base salary might be higher due to the cost of living and competition for talent. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with other benefits.
• Industry: Industries such as finance and healthcare often offer higher bonuses compared to academia or startups, where the focus might be more on equity or stock options.
• Company Size: Larger companies may offer a more structured bonus system and comprehensive benefits, while startups might provide significant equity stakes as part of the compensation package.

Steps to Increase Salary from This Position

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

• Skill Enhancement: Continuously update your skills in emerging areas of AI/ML, such as deep learning, reinforcement learning, or natural language processing.
• Advanced Education: Pursuing a Ph.D. or specialized certifications can make you more competitive for senior roles.
• Networking: Engage with professional communities, attend conferences, and contribute to open-source projects to increase your visibility and opportunities.
• Leadership Roles: Seek opportunities to lead projects or teams, which can position you for promotions to senior or managerial roles.
• Industry Switch: Transitioning to a higher-paying industry, such as finance or tech, can also lead to a salary increase.

Educational Requirements

Most mid-level machine learning researcher positions require at least a master's degree in a relevant field such as computer science, data science, statistics, or mathematics. A Ph.D. is often preferred, especially for research-intensive roles, as it demonstrates a deep understanding of complex algorithms and the ability to conduct independent research.

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 demonstrate proficiency in specific tools and platforms, which can be advantageous in technical interviews and project work.

Experience Requirements

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 experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Proven track record of deploying machine learning models in production environments.
• Experience in data preprocessing, feature engineering, and model evaluation.

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