Machine Learning Developer Salary in 2024

Salary details

The average Machine Learning Developer salary lies between USD 90,146 and USD 135,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 15, 2024

Salary trend

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 | 93 jobs Python | 82 jobs Engineering | 68 jobs ML models | 57 jobs Research | 49 jobs AWS | 46 jobs Computer Science | 46 jobs PyTorch | 39 jobs Architecture | 39 jobs TensorFlow | 36 jobs Testing | 36 jobs Deep Learning | 31 jobs Statistics | 30 jobs Pipelines | 29 jobs Scikit-learn | 26 jobs Data analysis | 25 jobs GCP | 22 jobs Azure | 22 jobs Security | 20 jobs Mathematics | 20 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 Flex hours. 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 | 78 jobs Health care | 30 jobs Flex hours | 24 jobs Competitive pay | 23 jobs Flex vacation | 18 jobs Equity / stock options | 17 jobs Team events | 17 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 typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher due to the cost of living and competition for talent. Bonuses are often performance-based and can range from 10% to 20% of the base salary. In larger tech companies, stock options or equity can form a significant part of the compensation package, providing long-term financial benefits. In contrast, smaller companies or startups might offer lower base salaries but compensate with higher equity stakes.

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 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 or Ph.D. in a relevant field can open doors to higher-paying roles.
• Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
• Leadership Roles: Transitioning into roles such as a team lead or project manager can increase your earning potential.
• Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if you have specialized skills.

Educational Requirements

Most Machine Learning Developer roles require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for positions involving complex research and development tasks. These advanced degrees provide a deeper understanding of algorithms, data structures, and statistical models, which are crucial for developing sophisticated machine learning solutions.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications validate your skills in specific platforms and tools, making you a more attractive candidate.

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 in deploying machine learning models in production environments is highly valued, as it demonstrates your ability to translate theoretical knowledge into practical applications.

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