The role of Machine Learning Engineers has become particularly significant in recent times, thanks to fast-paced growth in automation and Artificial Intelligence. Several big tech companies, including Google, hire all through the year for Machine Learning roles. Google, in particular, is known to pay attractive salary packages to ML engineers, making it a coveted company for engineers wishing to work in a superior and stimulating work environment.
Getting into Google isn’t easy, though. If you’re wondering how tough it is to land a job at Google, well, less than 2% of engineers who apply actually end up landing an offer. The stringent interview process ensures only the best of the best get through. So adopting a foolproof prep strategy is extremely important to crack interviews at Google.
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In this article, we’ll look at how much Machine Learning Engineers at Google make in a year. We’ll also compare ML salaries at Google with other top technology companies. Here’s what we’ll cover in this article:
Machine Learning Engineers build AI algorithms to automate software systems and predictive models. An ML engineer also designs scalable solutions to increase the scope of these models and build inventive tools to track large-scale metrics.
Here’s what an ML engineer at Google typically does:
Here’s what Google typically looks for in applicants who apply for Machine Learning Engineer roles:
As mentioned earlier, Google is known to offer lucrative compensation packages and other rewarding benefits to ML engineers.
An ML engineer at Google typically draws an average base compensation of $128,910. Bonuses for ML roles average at $15,978, and stock options for ML roles (depending on the level of seniority) can go up to $127,820. The total average compensation of ML engineers at Google is $136,899.
In addition to annual compensation, below are some added benefits that ML engineers at Google enjoy:
Below is a comparison of Machine Learning Engineer salaries at Google and other FAANG companies.
As you can see, the salaries for machine learning engineers at Google are at par with other FAANG companies, except Netflix. Netflix is known to pay higher salaries as it usually hires more experienced engineers for ML and related roles.
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