Some people say that AI research scientists (PhD holders) are pretty much irreplaceable because of their ability to push the boundaries of knowledge and come up with groundbreaking methods and algorithms. But let’s be real—tech companies don’t need a ton of researchers, especially if their work doesn’t directly boost profits.
On the flip side, Machine Learning Engineers are the ones putting those algorithms into action, scaling systems, and keeping production pipelines running—all things that directly bring in the $$$. That’s why some people think MLE roles will grow faster than AI research scientist roles in the future.
What do you think? Are there trends or experiences you’ve seen that suggest one of these roles will be more in demand down the line? I’m currently a PhD student by the way.
For a fair comparison, let’s assume both roles are at a FAANG company.
submitted by /u/wonder-why-I-wonder
[link] [comments]
r/cscareerquestions Some people say that AI research scientists (PhD holders) are pretty much irreplaceable because of their ability to push the boundaries of knowledge and come up with groundbreaking methods and algorithms. But let’s be real—tech companies don’t need a ton of researchers, especially if their work doesn’t directly boost profits. On the flip side, Machine Learning Engineers are the ones putting those algorithms into action, scaling systems, and keeping production pipelines running—all things that directly bring in the $$$. That’s why some people think MLE roles will grow faster than AI research scientist roles in the future. What do you think? Are there trends or experiences you’ve seen that suggest one of these roles will be more in demand down the line? I’m currently a PhD student by the way. For a fair comparison, let’s assume both roles are at a FAANG company. submitted by /u/wonder-why-I-wonder [link] [comments]
Some people say that AI research scientists (PhD holders) are pretty much irreplaceable because of their ability to push the boundaries of knowledge and come up with groundbreaking methods and algorithms. But let’s be real—tech companies don’t need a ton of researchers, especially if their work doesn’t directly boost profits.
On the flip side, Machine Learning Engineers are the ones putting those algorithms into action, scaling systems, and keeping production pipelines running—all things that directly bring in the $$$. That’s why some people think MLE roles will grow faster than AI research scientist roles in the future.
What do you think? Are there trends or experiences you’ve seen that suggest one of these roles will be more in demand down the line? I’m currently a PhD student by the way.
For a fair comparison, let’s assume both roles are at a FAANG company.
submitted by /u/wonder-why-I-wonder
[link] [comments]