>A large portion of AI investment is in self-driving cars, and as fully autonomous vehicles are still far from being a commodity, some hypothesize that investors will lose hope in AI altogether. Google has freezed hiring for ML researchers. Uber laid off the research half of their AI team. There’s rumor that due to a large number of people taking ML courses, there will be far more people with ML skills than ML jobs.
Ouch >.<
As someone who does ML for a living this hits. When switching companies in 2019 for the first time I had a hard time despite having 10+ years experience. Linkedin maxed out saying over 200 people had applied to every job I was looking at.
Thankfully I have a rare skill set. It's not found in classes, books, or boot camps. On the downside there are not many jobs to choose from as companies don't know what I do can be done. (Time series classification and prediction, usually sensor data.)
Hopefully the industry matures. I've bumped into data scientists who don't know how to do feature engineering as well as ones who can't grok ML. It makes the whole industry look bad.
Ouch >.<
As someone who does ML for a living this hits. When switching companies in 2019 for the first time I had a hard time despite having 10+ years experience. Linkedin maxed out saying over 200 people had applied to every job I was looking at.
Thankfully I have a rare skill set. It's not found in classes, books, or boot camps. On the downside there are not many jobs to choose from as companies don't know what I do can be done. (Time series classification and prediction, usually sensor data.)
Hopefully the industry matures. I've bumped into data scientists who don't know how to do feature engineering as well as ones who can't grok ML. It makes the whole industry look bad.