On a related note, can someone give a glimpse into what is it like to actually change careers from development to ML? How much do you need to learn, what skill level is required, and how do entry ML positions compare with regular mid-senior developer positions in terms of compensation and overall work environment?
I read the best way was(no actual experience in this field, but it sounded like a good plan to me)
1. Finish a degree in ML and a couple of projects
2. Use this experience, as evidence of enthusiasm for applying as a support engineer on an ML project. (Working on infrastructure, and all the surrounding development work an ML project requires)
3. Keep trying to move more and more into the ML side of things.
Comments
On a related note, can someone give a glimpse into what is it like to actually change careers from development to ML? How much do you need to learn, what skill level is required, and how do entry ML positions compare with regular mid-senior developer positions in terms of compensation and overall work environment?
I know of three paths right now:
- Get a Master's or PHD
- Work at Google and wait for your turn to do their internal ML bootcamp
- Udacity Nanodegree Plus (I would love to hear from anyone who has gotten a job through this)
I read the best way was(no actual experience in this field, but it sounded like a good plan to me)
1. Finish a degree in ML and a couple of projects
2. Use this experience, as evidence of enthusiasm for applying as a support engineer on an ML project. (Working on infrastructure, and all the surrounding development work an ML project requires)
3. Keep trying to move more and more into the ML side of things.
Yeah I'm interested in this as well, and cannot find the information anywhere...