Salary for Senior-level / Expert Machine Learning Modeler during 2024

Salary details

The average senior-level / expert Machine Learning Modeler salary lies between USD 139,000 and USD 245,400 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

Top 20 Job Tags for Senior-level / Expert Machine Learning Modeler roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Modeler job listings are Python, Machine Learning and Open Source. 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:

Python | 8 jobs Machine Learning | 8 jobs Open Source | 8 jobs PyTorch | 8 jobs AWS | 8 jobs Airflow | 8 jobs Research | 8 jobs Engineering | 8 jobs Banking | 8 jobs Crypto | 8 jobs Blockchain | 8 jobs GCP | 8 jobs Classification | 8 jobs Snowflake | 8 jobs Mathematics | 8 jobs Physics | 8 jobs Computer Science | 8 jobs LLMs | 8 jobs Generative AI | 8 jobs Copilot | 8 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Machine Learning Modeler roles

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Modeler job listings are Equity / stock options, Parental leave and Wellness. 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:

Equity / stock options | 8 jobs Parental leave | 8 jobs Wellness | 8 jobs Career development | 8 jobs Flex hours | 7 jobs Flex vacation | 7 jobs Health care | 7 jobs Signing bonus | 7 jobs Team events | 7 jobs Medical leave | 7 jobs Insurance | 7 jobs Salary bonus | 7 jobs Flexible spending account | 7 jobs Startup environment | 3 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Modeler 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 constitutes the majority of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual achievements, often ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech firms or startups and can be a significant part of the total compensation, especially in regions like Silicon Valley. In contrast, companies in other regions or industries might offer less in terms of equity but compensate with higher base salaries or bonuses.

Increasing Salary Further

To increase your salary beyond the median of USD 173,350, consider the following strategies:

• Specialization: Develop expertise in niche areas of AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand.
• Leadership Roles: Transition into roles that combine technical expertise with leadership, such as a Machine Learning Team Lead or Director of AI.
• Consulting: Offer your expertise as a consultant, which can command higher hourly rates and provide diverse industry exposure.
• Continuous Learning: Stay updated with the latest advancements in AI/ML and acquire new skills that are emerging in the field.

Educational Requirements

Most senior-level positions in AI/ML 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 roles that involve research and development of new algorithms or models. The educational background should provide a strong foundation in machine learning principles, statistical analysis, and programming.

Helpful Certifications

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

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

These certifications can validate your skills in specific platforms or methodologies and make you more attractive to potential employers.

Required Experience

Typically, a senior-level machine learning modeler is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects or teams, as well as a proven track record of successful AI/ML implementations, is highly valued.

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