Salary for Mid-level / Intermediate Machine Learning Engineer in United States during 2024

Salary details

The average mid-level / intermediate Machine Learning Engineer salary lies between USD 137,750 and USD 223,900 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: Jan. 19, 2025

Salary trend

Top 20 Job Tags for Mid-level / Intermediate Machine Learning Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Engineer job listings are Machine Learning, Python and Engineering. 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 | 1047 jobs Python | 872 jobs Engineering | 790 jobs ML models | 650 jobs Computer Science | 573 jobs PyTorch | 522 jobs TensorFlow | 460 jobs Pipelines | 443 jobs Research | 403 jobs AWS | 398 jobs Deep Learning | 340 jobs Statistics | 327 jobs NLP | 322 jobs SQL | 294 jobs Architecture | 278 jobs Testing | 260 jobs LLMs | 260 jobs MLOps | 252 jobs Scikit-learn | 245 jobs Kubernetes | 235 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Machine Learning Engineer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Engineer 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 | 860 jobs Health care | 448 jobs Equity / stock options | 352 jobs Flex hours | 317 jobs Competitive pay | 257 jobs Flex vacation | 245 jobs Startup environment | 235 jobs Insurance | 202 jobs Parental leave | 200 jobs Medical leave | 184 jobs Team events | 174 jobs Salary bonus | 137 jobs 401(k) matching | 117 jobs Wellness | 86 jobs Conferences | 63 jobs Relocation support | 55 jobs Home office stipend | 47 jobs Flexible spending account | 45 jobs Fitness / gym | 44 jobs Unlimited paid time off | 39 jobs

Salary Composition for a Mid-level Machine Learning Engineer

The salary for a mid-level Machine Learning Engineer in the United States typically comprises a base salary, 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. Bonuses can be performance-based or company-wide, and they vary significantly depending on the industry and company size. For instance, tech giants and financial firms often offer substantial bonuses compared to smaller startups. Additionally, companies in regions like Silicon Valley or New York City might offer higher base salaries to offset the higher cost of living. Equity or stock options are more common in startups and tech companies, providing employees with a stake in the company's future success.

Steps to Increase Salary from a Mid-level Position

To increase your salary beyond the mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest technologies and tools 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 a master's degree or Ph.D. in a relevant field can open doors to higher-level positions and salaries.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can lead to higher compensation.
• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most mid-level Machine Learning Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. However, many employers prefer candidates with a master's degree or even a Ph.D., especially for roles that involve complex problem-solving and research. A strong foundation in mathematics, particularly in linear algebra, calculus, and probability, is essential.

Helpful Certifications

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

• Google Professional Machine Learning Engineer: Validates your ability to design, build, and productionize ML models.
• AWS Certified Machine Learning – Specialty: Demonstrates your skills in building, training, tuning, and deploying ML models on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Focuses on using Azure services to build AI solutions.
• TensorFlow Developer Certificate: Shows proficiency in using TensorFlow for machine learning and deep learning tasks.

Experience Requirements

Typically, a mid-level Machine Learning Engineer is expected to have 3-5 years of relevant experience. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in deploying models to production and working with large datasets is often required. Familiarity with programming languages such as Python or R, and tools like TensorFlow, PyTorch, or scikit-learn, is essential.

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