Prospects of Finding a ML Engineering Job [D]
Heat trend
Collecting trend data
The percentage is based on available heat signal, not comment count or independent people.
This covers a coding tool or code-capability update — useful for developers assessing workflow changes and reusable value.
Hello all,
I am wondering if a transition from a Ph.D. in electrical engineering (Quantum optics/photonics) to a job in ML is a reasonable aspiration. Personally, I have extensive software development experience competing and winning numerous coding competitions over the years, but most importantly my undergraduate research project was ML based (ML for SiC grating design optimization), I placed third in our universities "Agri-AI" competition which was basically just a big data project for the agriculture department, and I have done several projects in realizing optimal qubit control using ML to bridge the gap between simulation optimization and experimental errors (essentially using an MLP to compensate an unknown system frequency response). I am also generally interested in PINNS and any physical applications of ML.
If anyone has made a similar transition I would love to hear how it went for you and what your intended goals were. The more I do projects related to this subject I find myself wanting to make a career out of it more and more. (bonus points if you come from a physics background) 😄