Machine Learning Developer Salary in 2022

Salary details

The average Machine Learning Developer salary lies between USD 40,000 and USD 76,814 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. 22, 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 2022 and the number of open jobs that where associated with them during that period:

Machine Learning | 13 jobs Python | 12 jobs Engineering | 11 jobs Pipelines | 10 jobs Docker | 9 jobs Pandas | 7 jobs Scikit-learn | 7 jobs Kubernetes | 7 jobs ML models | 6 jobs APIs | 6 jobs SQL | 5 jobs AWS | 5 jobs Linux | 5 jobs NumPy | 5 jobs GCP | 5 jobs R | 4 jobs Deep Learning | 4 jobs NLP | 4 jobs Big Data | 4 jobs PySpark | 4 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, Startup environment and Flex vacation. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 7 jobs Startup environment | 5 jobs Flex vacation | 4 jobs Health care | 4 jobs Team events | 4 jobs Home office stipend | 3 jobs Unlimited paid time off | 3 jobs Equity / stock options | 2 jobs Parental leave | 2 jobs Flex hours | 2 jobs Competitive pay | 2 jobs Wellness | 1 jobs Medical leave | 1 jobs Insurance | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Machine Learning Developer typically consists of a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the bulk 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, smaller companies or those in regions with a lower cost of living might offer a higher percentage of fixed salary with smaller bonuses. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or non-profit sectors.

Increasing Salary

To increase your salary from the current 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 related field can open up higher-paying opportunities.
• Networking: Engage with professional networks and communities. Attending conferences, meetups, and workshops can lead to new opportunities and insights into higher-paying roles.
• Leadership Roles: Transitioning into roles with more responsibility, such as a team lead or project manager, can lead to salary increases.
• Company Switch: Sometimes, moving to a different company, especially one in a high-demand industry or region, can result in a significant salary bump.

Educational Requirements

Most Machine Learning Developer roles require at least a bachelor's degree in computer 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 in data structures, algorithms, and software engineering is highly beneficial.

Helpful Certifications

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

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

These certifications can validate your skills and knowledge in specific platforms and tools, making you more attractive to potential employers.

Required Experience

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

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