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Assuming you are good with a non-research role, then yes. Easiest way to get into that work, in my opinion, would be to take a data engineering job on a team t
by coderintherye 3y ago
Assuming you are good with a non-research role, then yes.
Easiest way to get into that work, in my opinion, would be to take a data engineering job on a team that has an AI/ML capacity and then start learning from that team and taking on some of the AI/ML tasks directly. Alternatively, you could take a role at a smaller business that needs a generalist but also wants to invest in AI/ML (though in this case you will be more on your own to self-learn and it won't work quite as well for stepping stone into a more pure AI/ML role).
- claytonjy 3y agoThis is the way. Provide value on an ML-adjacent team and expand your scope over time. One thing to watch out for is being too far from ML at an ML-heavy company. Those places often have plenty of devs doing frontend work, integrations, etc. but those roles are not so different from similar roles at non-ML companies. Being awesome at typescript isn't going to help you shift to ML work. You want to be as close to the ML folks as possible: data engineering, data science, ML platform, etc. A common theme there is python, so get very comfortable with the language and ecosystem.