u/Balllchinian

I’m a first year computer science student in San Diego that is interested in working in Biotech more specifically involved in Genetics, DNA, Mutations and evolution. I would love to build simulations of “AI agents” that simulate evolution using Evolutionary Algorithms, NEAT, Neural Networks, Computational Biology, Etc.

Is Machine learning Engineer a solid career for my interests or am I missing something

I am currently an undergrad student in CS just starting out and would like to eventually get into machine learning or embodied ai. I feel like both of my target careers are more geared towards having at least a masters and would be hard to obtain with a undergrad (maybe I’m wrong). Would it be the best option to start out/break in as a data engineer (if I can) then pivot internally when I have some years of experience? How should I be prioritizing what I learn outside of school?