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

Salary details

The average mid-level / intermediate Machine Learning Model Engineer salary lies between USD 230,000 and USD 280,000 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: Dec. 22, 2024

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

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Model Engineer job listings are Python, Machine Learning and Big Data. 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 | 1 jobs Machine Learning | 1 jobs Big Data | 1 jobs TensorFlow | 1 jobs PyTorch | 1 jobs Kafka | 1 jobs Spark | 1 jobs SQL | 1 jobs AWS | 1 jobs Research | 1 jobs Data Mining | 1 jobs Engineering | 1 jobs Flink | 1 jobs MLOps | 1 jobs PhD | 1 jobs ML models | 1 jobs Mathematics | 1 jobs Computer Science | 1 jobs NeurIPS | 1 jobs ICLR | 1 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Model Engineer job listings are Career development. 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 | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Machine Learning Model Engineer can vary significantly based on factors such as region, industry, and company size. Typically, the salary package is divided into three main components:

• Base Salary: This is the fixed annual salary and usually constitutes the largest portion of the total compensation. In tech hubs like Silicon Valley or New York City, the base salary might be higher due to the cost of living and competitive job market.

• Bonus: Bonuses can be performance-based or company-wide and are often paid annually. They can range from 10% to 20% of the base salary, depending on the company's performance and individual contributions.

• Additional Remuneration: This includes stock options, equity, or restricted stock units (RSUs), which are common in tech companies, especially startups. These can significantly increase the total compensation package, particularly if the company performs well.

Increasing Salary

To increase your salary further from this position, consider the following steps:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or computer vision, which are in high demand and can command higher salaries.

• Pursue Leadership Roles: Transitioning into roles such as a team lead or project manager can increase your earning potential. These positions often come with higher salaries and additional bonuses.

• Continuous Learning and Upskilling: Stay updated with the latest technologies and methodologies in AI/ML. Attending workshops, conferences, and obtaining advanced certifications can make you more valuable to employers.

• Network and Build Industry Connections: Networking can open up opportunities for higher-paying positions. Engage with professional organizations, attend industry events, and connect with peers on platforms like LinkedIn.

Educational Requirements

Most mid-level machine learning model engineer positions require at least a bachelor's degree in a related field such as computer science, data science, mathematics, or engineering. However, a master's degree or Ph.D. can be advantageous and is often preferred by top-tier companies, as it demonstrates a deeper understanding of complex algorithms and data analysis techniques.

Helpful Certifications

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

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

These certifications can validate your skills and knowledge, making you a more competitive candidate.

Required Experience

Typically, a mid-level machine learning model 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 programming languages such as Python or R. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is also crucial.

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