Machine Learning Software Engineer Salary in 2023

Salary details

The average Machine Learning Software Engineer salary lies between USD 90,000 and USD 217,600 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: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Machine Learning Software Engineer roles

The three most common job tag items assiciated with Machine Learning Software Engineer job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Machine Learning | 17 jobs Python | 16 jobs Engineering | 13 jobs Computer Science | 12 jobs ML models | 10 jobs PyTorch | 8 jobs TensorFlow | 7 jobs Architecture | 7 jobs APIs | 7 jobs PhD | 6 jobs Statistics | 6 jobs Java | 6 jobs NLP | 5 jobs GPU | 5 jobs Testing | 5 jobs CUDA | 5 jobs Mathematics | 5 jobs Privacy | 5 jobs Computer Vision | 4 jobs Research | 4 jobs

Top 20 Job Perks/Benefits for Machine Learning Software Engineer roles

The three most common job benefits and perks assiciated with Machine Learning Software Engineer job listings are Career development, Equity / stock options and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Career development | 13 jobs Equity / stock options | 7 jobs Health care | 7 jobs Flex vacation | 6 jobs Competitive pay | 5 jobs Salary bonus | 5 jobs 401(k) matching | 4 jobs Startup environment | 4 jobs Parental leave | 3 jobs Medical leave | 3 jobs Flex hours | 2 jobs Team events | 2 jobs Relocation support | 2 jobs Wellness | 1 jobs Insurance | 1 jobs Home office stipend | 1 jobs Fertility benefits | 1 jobs

Salary Composition

The salary for a Machine Learning Software Engineer typically consists of 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 makes up the majority of the total compensation package. Performance bonuses can vary significantly depending on the company's success and individual performance, often ranging from 10% to 20% of the base salary. Additional remuneration, like stock options, is more common in larger tech companies or startups and can significantly increase the total compensation, especially if the company performs well.

Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and competition for talent. Industry can also impact salary composition, with finance and tech industries typically offering higher compensation packages compared to academia or non-profits. Company size can influence the availability of stock options, with larger companies more likely to offer them as part of the compensation package.

Increasing Salary

To increase your salary from this 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 relevant field can open up higher-paying opportunities and leadership roles.

• Networking: Building a strong professional network can lead to opportunities in higher-paying companies or roles.

• Leadership Roles: Transitioning into a managerial or lead role can significantly increase your salary.

• Negotiation: Always negotiate your salary and benefits when starting a new job or during performance reviews.

Educational Requirements

Most Machine Learning Software Engineer positions require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve research or advanced algorithm development. These advanced degrees provide a deeper understanding of machine learning theories and practices, which can be crucial for complex problem-solving and innovation.

Helpful Certifications

While not always required, 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 in specific platforms and tools, making you more attractive to potential employers.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in software engineering or data science roles. Experience with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), programming languages (like Python, R, or Java), and cloud platforms (AWS, Azure, or Google Cloud) is often required. Experience in deploying machine learning models in production environments is highly valued.

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