Machine Learning Modeler Salary in United States during 2024

Salary details

The average 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. 24, 2024

Top 20 Job Tags for Machine Learning Modeler roles

The three most common job tag items assiciated with 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 Machine Learning Modeler roles

The three most common job benefits and perks assiciated with 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 Machine Learning Modelers

The salary for a Machine Learning Modeler in the United States typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the most significant portion, often accounting for 70-80% of the total compensation package. Bonuses can vary widely, ranging from 10-20% of the base salary, depending on individual and company performance. Additional remuneration, such as stock options, can be a substantial part of the package in larger tech firms or startups, potentially adding another 10-20% to the total compensation.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City 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 government roles. Company size can influence salary composition as well, with larger companies typically offering more comprehensive benefits and stock options.

Steps to Increase Salary

To increase your salary from a Machine Learning Modeler 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 position you for higher-level roles.
• Leadership Roles: Transitioning into leadership or managerial roles can significantly boost your salary. This might involve leading a team of data scientists or managing projects.
• Networking: Building a strong professional network can open up opportunities for higher-paying positions, either within your current company or elsewhere.
• Negotiation: Don’t underestimate the power of negotiation. When offered a new position or during performance reviews, negotiate for higher pay or better benefits.

Educational Requirements

Most Machine Learning Modeler positions require at least a bachelor's degree in a related field such as computer science, mathematics, statistics, or engineering. However, a master's degree or Ph.D. is often preferred, especially for roles involving complex model development or research. Advanced degrees provide a deeper understanding of machine learning algorithms, statistical methods, and data analysis, which are crucial for this role.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate 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 in specific platforms or methodologies, making you more attractive to potential employers.

Experience Requirements

Typically, employers look for candidates with 3-5 years of experience in data science or machine learning roles. This experience should include hands-on work with machine learning models, data analysis, and programming in languages like Python or R. Experience with big data technologies, cloud platforms, and machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn) is also highly valued.

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