How much can you earn as a Machine Learning Developer in 2021? A comprehensive salary guide
Machine learning is one of the hottest jobs in tech at the moment, and it’s not hard to see why. With the rise of big data and AI, companies are seeking highly-skilled professionals with the technical expertise to design and develop machine learning systems that can learn from data and improve over time.
If you’re considering a career in machine learning, you’re probably wondering how much you can expect to earn in 2021. In this comprehensive salary guide, we’ll explore the range of salaries for machine learning developers and the factors that can impact your earning potential.
What is machine learning?
Before we dive into the salary range for machine learning developers, let’s take a brief look at what machine learning is all about. At its core, machine learning is a type of artificial intelligence that enables software applications to learn from the data they process and improve over time without being explicitly programmed.
Machine learning is used in a wide range of applications, from personalized recommendations on e-commerce websites to detecting fraud in financial transactions. It requires extensive knowledge of statistics, mathematics, and computer science – skills that are highly valued in today’s tech job market.
Factors that can impact machine learning salaries
The salary range for machine learning developers can vary widely depending on several factors, including:
Experience level
As with most tech jobs, experience matters when it comes to earning potential. Entry-level machine learning developers can expect to earn an average salary of around $80,000, while those with 5 or more years of experience can earn upwards of $140,000 per year.
Industry sector
The industry sector you work in can also impact your earning potential as a machine learning developer. Top-paying sectors for machine learning jobs include finance, healthcare, and technology, with average salaries ranging from $120,000 to $145,000 per year.
Location
Location is another important factor to consider when evaluating potential salary ranges for machine learning jobs. Tech hubs such as San Francisco, Seattle, and New York City have higher average salaries for machine learning roles, with some roles paying upwards of $160,000 per year.
Machine learning job titles and salary ranges
There are several different job titles that fall under the umbrella of “machine learning developer,” each with their own associated salary range. Here are a few of the most common job titles and their average salary ranges:
Data scientist
Data scientists are responsible for collecting, analyzing, and interpreting large sets of data in order to drive insights and make data-driven decisions. Entry-level data scientists can expect to earn an average salary of around $100,000, while those with several years of experience can earn upwards of $175,000 per year.
Machine learning engineer
Machine learning engineers are responsible for designing and implementing machine learning systems that can learn from data and improve over time. Entry-level machine learning engineers can expect to earn an average salary of around $90,000, while those with several years of experience can earn upwards of $160,000 per year.
Research scientist
Research scientists are responsible for conducting research and experimentation on machine learning algorithms and systems. Entry-level research scientists can expect to earn an average salary of around $110,000, while those with several years of experience can earn upwards of $190,000 per year.
Conclusion
Machine learning is a rapidly-growing field with a huge demand for skilled professionals. If you’re interested in pursuing a career in machine learning, there are many job opportunities available across a range of industries and sectors.
While salaries for machine learning roles can vary widely depending on several factors such as experience, industry sector, and location, it’s clear that this is a highly lucrative career path for those with the right skills and expertise. By staying up-to-date with the latest trends and developments in the field, you can position yourself for success and a high-earning career in machine learning.
