Salary for Mid-level / Intermediate Machine Learning Scientist during 2023

Salary details

The average mid-level / intermediate Machine Learning Scientist salary lies between USD 125,000 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 Scientist roles

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Scientist job listings are Machine Learning, Python and ML models. 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:

Machine Learning | 10 jobs Python | 9 jobs ML models | 8 jobs Research | 7 jobs Engineering | 7 jobs Computer Science | 7 jobs Deep Learning | 6 jobs R | 5 jobs TensorFlow | 5 jobs PhD | 5 jobs R&D | 5 jobs NLP | 4 jobs PyTorch | 4 jobs AWS | 4 jobs Java | 4 jobs Keras | 3 jobs Scikit-learn | 3 jobs SQL | 3 jobs NumPy | 3 jobs Security | 3 jobs

Top 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, 401(k) matching and Conferences. 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 | 9 jobs 401(k) matching | 4 jobs Conferences | 4 jobs Health care | 3 jobs Team events | 3 jobs Equity / stock options | 2 jobs Flex hours | 2 jobs Flex vacation | 2 jobs Competitive pay | 2 jobs Medical leave | 2 jobs Insurance | 2 jobs Parental leave | 1 jobs Startup environment | 1 jobs Salary bonus | 1 jobs Unlimited paid time off | 1 jobs

Salary 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 equity, especially in tech companies. The base salary is the fixed component and usually forms the largest part of the total compensation package. Performance bonuses can vary significantly depending on the company's success 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 significantly increase total compensation, especially if the company performs well. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher due to the cost of living and competitive job markets. Industry-wise, tech companies, finance, and healthcare often offer higher salaries compared to academia or smaller startups.

Increasing Salary

To increase your salary from a Mid-level Machine Learning Scientist 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 further education, such as a Ph.D. or specialized certifications, can open doors to higher-paying roles.
• Leadership Roles: Transitioning into roles with leadership responsibilities, such as a team lead or project manager, can lead to salary increases.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or industries.
• Negotiation: Always negotiate your salary and benefits when offered a new position or during performance reviews.

Educational Requirements

Most Mid-level Machine Learning Scientist positions require at least a Master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles that involve research or are in academia. The educational background should provide a strong foundation in algorithms, data structures, probability, and statistics, as well as practical experience with machine learning frameworks and tools.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:

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

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

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 software development. Experience in deploying machine learning models in production environments and working with large datasets is often required. Additionally, experience in a specific industry, such as finance, healthcare, or e-commerce, can be beneficial.

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