Salary for Mid-level / Intermediate Machine Learning Developer during 2024

Salary details

The average mid-level / intermediate Machine Learning Developer salary lies between USD 84,300 and USD 107,054 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

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

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Developer job listings are Python, Machine Learning 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:

Python | 24 jobs Machine Learning | 24 jobs Engineering | 17 jobs ML models | 17 jobs Computer Science | 14 jobs TensorFlow | 12 jobs AWS | 12 jobs Research | 12 jobs Statistics | 12 jobs PyTorch | 11 jobs Architecture | 10 jobs Pipelines | 10 jobs Testing | 9 jobs Deep Learning | 8 jobs Scikit-learn | 8 jobs GCP | 8 jobs Azure | 8 jobs LLMs | 8 jobs Mathematics | 7 jobs Model training | 6 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Developer job listings are Career development, Competitive pay and Team events. 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 | 21 jobs Competitive pay | 7 jobs Team events | 4 jobs Health care | 3 jobs Equity / stock options | 2 jobs Gear | 2 jobs Startup environment | 2 jobs Insurance | 2 jobs Flex hours | 1 jobs Flex vacation | 1 jobs Transparency | 1 jobs Medical leave | 1 jobs Salary bonus | 1 jobs Flexible spending account | 1 jobs

Salary Composition for a Mid-level Machine Learning Developer

The salary for a mid-level machine learning developer typically comprises a fixed base salary, performance 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, but companies often offer stock options as part of the compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with generous bonuses or benefits. Industries such as finance or healthcare may offer higher bonuses due to the critical nature of their work. Larger companies might provide more comprehensive benefits packages, while startups might offer equity as an incentive.

Steps to Increase Salary from a Mid-level Position

To increase your salary from a 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 up higher-paying opportunities.
• Networking: Engage with professional networks and communities. Attending conferences and meetups can lead to new opportunities and insights into industry trends.
• Leadership Roles: Seek opportunities to lead projects or teams, as leadership experience can significantly boost your earning potential.
• Switching Companies: Sometimes, moving to a new company can result in a substantial salary increase, especially if you have gained significant experience and skills.

Educational Requirements for a Mid-level Machine Learning Developer

Most mid-level machine learning developer positions require at least a bachelor's degree in computer science, data science, mathematics, statistics, or a related field. A strong foundation in programming, algorithms, and data structures is essential. Some positions may prefer candidates with a master's degree, especially for roles that involve complex problem-solving and advanced machine learning techniques.

Helpful Certifications for Machine Learning Developers

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

Experience Required for Mid-level Positions

Typically, a mid-level machine learning developer is expected to have 3-5 years of experience in the field. 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 in cross-functional teams is highly valued.

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