|
|
|
|
|
by mudrockbestgirl
1296 days ago
|
|
You essentially have two choices: - Get your PhD and try to become a researcher at one of the labs. Super crowded now, but basically the only way if you want to do research. - Become a ML engineer, data scientist, etc. While you will be working with ML models and understand them to some extent, you may find that it's not exactly what you wanted. You'll likely end up spending most of your time on the same old engineering stuff: Calling into black-box APIs, data engineering, iterating on hyperparameters, building experiment pipelines, dealing with cloud scaling and setting up GPUs, etc. For example, if you take a look at GPT, 99% of the work that has gone into it is standard engineering/scaling work, not AI-specific work. |
|
It's as simple as finding a conference, finding the submission style, writing the paper, submitting, and waiting and praying to the gods of peer review.
Of course, you need to have a good idea, but the fruit in AI is still very low hanging.