Machine Learning Developer Salary in United States during 2024

Salary details

The average Machine Learning Developer salary lies between USD 90,146 and USD 206,690 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 Machine Learning Developer roles

The three most common job tag items assiciated with Machine Learning Developer 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 | 86 jobs Python | 75 jobs Engineering | 63 jobs ML models | 54 jobs Research | 46 jobs AWS | 43 jobs Computer Science | 42 jobs PyTorch | 38 jobs Architecture | 38 jobs TensorFlow | 35 jobs Testing | 33 jobs Deep Learning | 30 jobs Statistics | 27 jobs Scikit-learn | 25 jobs Pipelines | 25 jobs Data analysis | 24 jobs GCP | 21 jobs Azure | 20 jobs Security | 19 jobs LLMs | 19 jobs

Top 20 Job Perks/Benefits for Machine Learning Developer roles

The three most common job benefits and perks assiciated with Machine Learning Developer job listings are Career development, Health care and Competitive pay. 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 | 73 jobs Health care | 30 jobs Competitive pay | 22 jobs Flex hours | 21 jobs Flex vacation | 18 jobs Team events | 16 jobs Equity / stock options | 15 jobs Salary bonus | 13 jobs Medical leave | 12 jobs Startup environment | 11 jobs Parental leave | 9 jobs Insurance | 7 jobs Transparency | 5 jobs Conferences | 5 jobs Home office stipend | 5 jobs Flexible spending account | 3 jobs Wellness | 2 jobs Travel | 2 jobs Gear | 2 jobs Snacks / Drinks | 2 jobs

Salary Composition for Machine Learning Developers

The salary for a Machine Learning Developer in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options can be substantial, especially in larger tech companies or startups with high growth potential. In contrast, companies in regions with a lower cost of living or in industries like academia or non-profits may offer smaller bonuses and fewer stock options. Company size also plays a role; larger companies often have more structured bonus programs and additional benefits compared to smaller firms.

Steps to Increase Salary

To increase your salary from a Machine Learning Developer position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest technologies and methodologies 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 or Ph.D. in a related field can open up higher-paying opportunities and leadership roles.
• Networking: Engage with professional networks and communities. Attending conferences, meetups, and workshops can lead to new opportunities and insights into industry trends.
• Performance and Negotiation: Consistently demonstrate your value through successful projects and outcomes. Be prepared to negotiate your salary during performance reviews or when offered a new position.
• Transition to High-Paying Industries: Consider moving to industries known for higher compensation, such as finance, healthcare, or tech giants.

Educational Requirements

Most Machine Learning Developer roles 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 higher, especially for more advanced positions. A strong foundation in mathematics, particularly in linear algebra, calculus, and probability, is essential. Additionally, coursework or experience in programming languages like Python, R, or Java is often required.

Helpful Certifications

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

• TensorFlow Developer Certificate: Validates your ability to build and train machine learning models using TensorFlow.
• AWS Certified Machine Learning – Specialty: Demonstrates your skills in designing, implementing, and maintaining machine learning solutions on AWS.
• Microsoft Certified: Azure AI Engineer Associate: Shows proficiency in using Azure AI services to build and integrate AI solutions.
• Google Professional Machine Learning Engineer: Certifies your ability to design, build, and productionize ML models on Google Cloud.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in machine learning or related fields. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience with specific tools and frameworks like TensorFlow, PyTorch, or scikit-learn is often required. Additionally, experience in deploying models to production and working in cross-functional teams can be advantageous.

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