Salary for Entry-level / Junior Machine Learning Engineer during 2022

Salary details

The average entry-level / junior Machine Learning Engineer salary lies between USD 35,093 and USD 115,000 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: Nov. 24, 2024

Salary trend

Top 20 Job Tags for Entry-level / Junior Machine Learning Engineer roles

The three most common job tag items assiciated with entry-level / junior Machine Learning Engineer job listings are Machine Learning, Python and Computer Science. 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 | 54 jobs Python | 47 jobs Computer Science | 36 jobs Engineering | 35 jobs Research | 27 jobs Deep Learning | 22 jobs ML models | 18 jobs NLP | 17 jobs TensorFlow | 17 jobs PyTorch | 16 jobs Computer Vision | 15 jobs Mathematics | 15 jobs Statistics | 14 jobs Big Data | 12 jobs SQL | 12 jobs Testing | 11 jobs Pipelines | 11 jobs APIs | 11 jobs PhD | 10 jobs R | 9 jobs

Top 20 Job Perks/Benefits for Entry-level / Junior Machine Learning Engineer roles

The three most common job benefits and perks assiciated with entry-level / junior Machine Learning Engineer job listings are Career development, Startup environment and Team events. 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 | 38 jobs Startup environment | 14 jobs Team events | 13 jobs Flex hours | 12 jobs Flex vacation | 9 jobs Conferences | 9 jobs Health care | 8 jobs Salary bonus | 8 jobs Competitive pay | 7 jobs Equity / stock options | 5 jobs Parental leave | 5 jobs Medical leave | 5 jobs Insurance | 4 jobs Wellness | 3 jobs Travel | 3 jobs Transparency | 3 jobs Flexible spending account | 3 jobs Unlimited paid time off | 2 jobs 401(k) matching | 1 jobs Lunch / meals | 1 jobs

Salary Composition

The salary for an entry-level or junior machine learning engineer typically consists of a base salary, which is the fixed amount, and may include additional components such as bonuses and stock options. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but the cost of living is also elevated. Bonuses are often performance-based and can range from 5% to 15% of the base salary. In larger tech companies, stock options or restricted stock units (RSUs) are common, providing additional long-term incentives. In contrast, smaller startups might offer lower base salaries but compensate with equity options. Industries like finance or healthcare might offer higher base salaries compared to academia or non-profits, where the focus might be more on research opportunities than financial compensation.

Steps to Increase Salary

To increase your salary from an entry-level position, consider the following strategies:

• Skill Enhancement: Continuously update your skills with the latest tools and technologies 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 related field can open up higher-paying opportunities.
• Networking: Attend industry conferences, workshops, and meetups to connect with professionals and learn about new opportunities.
• Performance and Impact: Demonstrating significant contributions to projects and showcasing your impact on the company's success can position you for promotions and raises.
• Switching Companies: Sometimes, moving to a new company can result in a significant salary increase, especially if you have gained valuable experience and skills.

Educational Requirements

Most entry-level machine learning engineer 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 might prefer candidates with a master's degree, especially if the role involves more complex tasks or research components.

Helpful Certificates

While not always mandatory, certain certifications can enhance your resume and demonstrate your commitment to the field. Some popular certifications include:

• 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

For entry-level roles, employers typically look for candidates with some practical experience, which can be gained through internships, co-op programs, or personal projects. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn, as well as proficiency in programming languages such as Python or R, is often expected. Familiarity with data preprocessing, model training, and evaluation is also important.

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