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

Salary details

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

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). 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 for Senior-Level/Expert Machine Learning Modeler

The salary for a Senior-level or Expert Machine Learning Modeler in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Bonuses can vary significantly depending on the company's performance and individual contributions, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, can be a significant part of the package in larger tech firms or startups, potentially adding another 10-20% to the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher equity components, while regions with a lower cost of living might offer a higher percentage of fixed salary. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or non-profit sectors.

Steps to Increase Salary Further

To increase your salary beyond the median of USD 192,200, consider the following strategies:

• Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or reinforcement learning, which can command higher salaries.
• Leadership Roles: Transition into leadership or managerial roles, such as a Machine Learning Team Lead or Director of AI, which typically offer higher compensation.
• Continuous Learning: Stay updated with the latest advancements in AI/ML through courses, workshops, and conferences, which can make you more valuable to employers.
• Networking: Build a strong professional network in the AI/ML community, which can lead to opportunities in higher-paying roles or companies.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during job offers or performance reviews.

Educational Requirements

Most senior-level machine learning positions require at least a master's degree in a relevant field such as computer science, data science, statistics, or applied mathematics. A Ph.D. is often preferred, especially for roles that involve research or developing new algorithms. The educational background should include a strong foundation in mathematics, statistics, and computer programming.

Helpful Certifications

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

• 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 in specific tools and platforms, making 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 machine learning implementations, is highly valued.

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