Salary for Mid-level / Intermediate Machine Learning Scientist during 2024
💰 The median Salary for Mid-level / Intermediate Machine Learning Scientist during 2024 is USD 155,000
✏️ This salary info is based on 72 individual salaries reported during 2024
Salary details
The average mid-level / intermediate Machine Learning Scientist salary lies between USD 112,000 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.
- Job title
- Machine Learning Scientist
- Experience
- Mid-level / Intermediate
- Region
- global/worldwide
- Salary year
- 2024
- Sample size
- 72
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Mid-level / Intermediate Machine Learning Scientist roles
The three most common job tag items assiciated with mid-level / intermediate Machine Learning Scientist job listings are Machine Learning, Engineering and ML models. 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 | 56 jobs Engineering | 44 jobs ML models | 41 jobs Python | 39 jobs Computer Science | 34 jobs Research | 33 jobs Statistics | 33 jobs PyTorch | 32 jobs SQL | 30 jobs Deep Learning | 28 jobs TensorFlow | 26 jobs Mathematics | 25 jobs PhD | 22 jobs NLP | 21 jobs Security | 20 jobs Scikit-learn | 18 jobs Big Data | 16 jobs Pandas | 16 jobs AWS | 16 jobs NumPy | 16 jobsTop 20 Job Perks/Benefits for Mid-level / Intermediate Machine Learning Scientist roles
The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Scientist 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 | 46 jobs Health care | 27 jobs Equity / stock options | 15 jobs Conferences | 15 jobs Wellness | 14 jobs Flex hours | 13 jobs Flex vacation | 13 jobs Competitive pay | 13 jobs Startup environment | 12 jobs Team events | 11 jobs Parental leave | 10 jobs Medical leave | 9 jobs Insurance | 9 jobs 401(k) matching | 7 jobs Salary bonus | 6 jobs Relocation support | 5 jobs Travel | 4 jobs Gear | 3 jobs Snacks / Drinks | 3 jobs Fitness / gym | 2 jobsSalary Composition
The salary for a Mid-level/Intermediate Machine Learning Scientist typically comprises 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:
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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 could compensate with other benefits.
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Industry: Industries such as finance, healthcare, and tech often offer higher salaries due to the critical nature of AI/ML applications. Startups might offer lower base salaries but compensate with equity or stock options.
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Company Size: Larger companies often provide a more structured compensation package with a significant portion in bonuses and stock options. Smaller companies might offer more flexible packages with potential for rapid salary growth.
Increasing Salary
To increase your salary from a Mid-level position, consider the following steps:
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Skill Enhancement: Continuously update your skills with 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.
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Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open doors to higher-level positions and salary brackets.
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Leadership Roles: Transitioning into roles that involve team leadership or project management can increase your earning potential.
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Networking: Building a strong professional network can lead to opportunities in higher-paying roles or companies.
Educational Requirements
Most Mid-level Machine Learning Scientist positions require at least a bachelor's degree in a relevant field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex problem-solving and 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 the job market.
Required Experience
Typically, a Mid-level Machine Learning Scientist 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 familiarity with programming languages such as Python or R. Experience in deploying models in production environments is also highly valued.
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