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

Salary details

The average mid-level / intermediate Machine Learning Engineer salary lies between USD 135,000 and USD 223,000 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 Mid-level / Intermediate Machine Learning Engineer roles

The three most common job tag items assiciated with mid-level / intermediate Machine Learning Engineer 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 | 1037 jobs Python | 859 jobs Engineering | 780 jobs ML models | 639 jobs Computer Science | 569 jobs PyTorch | 517 jobs TensorFlow | 454 jobs Pipelines | 438 jobs AWS | 397 jobs Research | 396 jobs Deep Learning | 336 jobs Statistics | 332 jobs NLP | 324 jobs SQL | 291 jobs Architecture | 277 jobs Testing | 258 jobs MLOps | 255 jobs LLMs | 254 jobs Scikit-learn | 241 jobs Kubernetes | 230 jobs

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

The three most common job benefits and perks assiciated with mid-level / intermediate Machine Learning Engineer job listings are Career development, Health care and Equity / stock options. 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 | 848 jobs Health care | 443 jobs Equity / stock options | 342 jobs Flex hours | 310 jobs Competitive pay | 257 jobs Flex vacation | 237 jobs Startup environment | 228 jobs Insurance | 197 jobs Parental leave | 193 jobs Team events | 177 jobs Medical leave | 177 jobs Salary bonus | 134 jobs 401(k) matching | 111 jobs Wellness | 89 jobs Conferences | 63 jobs Relocation support | 55 jobs Home office stipend | 47 jobs Flexible spending account | 44 jobs Fitness / gym | 43 jobs Unlimited paid time off | 39 jobs

Salary Composition

The salary for a Mid-level Machine Learning Engineer typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's profitability and individual performance metrics. In regions like North America and Western Europe, bonuses might range from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in startups and large tech firms, providing long-term incentives aligned with company growth. The industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or non-profit organizations. Company size can influence the package, with larger companies often providing more comprehensive benefits and bonuses.

Increasing Salary

To increase your salary from a mid-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML, such as deep learning frameworks, cloud platforms, and data engineering.
• Advanced Education: Pursuing a master's or Ph.D. in a relevant field can open doors to higher-level positions and salary brackets.
• Leadership Roles: Transitioning into roles that involve team leadership or project management can significantly boost your earning potential.
• Industry Switch: Moving to industries with higher pay scales, such as finance or tech giants, can result in a substantial salary increase.
• Networking: Building a strong professional network can lead to opportunities in higher-paying roles or companies.

Educational Requirements

Most mid-level machine learning engineer positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree is often preferred and can be a significant advantage. Some roles may also consider candidates with degrees in engineering or physics, provided they have relevant experience and skills in machine learning and data analysis.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile 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.

Required Experience

Typically, a mid-level machine learning engineer is expected to have 3-5 years of experience in the field. This experience should include hands-on work with machine learning models, data preprocessing, and deployment of ML solutions. Experience in software development, data analysis, and familiarity with programming languages like Python or R is also crucial. Experience in a specific industry can be beneficial, as it provides domain knowledge that can be applied to machine learning projects.

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