If you are ML/DL practitioner and looking out for job, please say good but to you AI/ML/DL hard earned knowledge; As that holds no value in landing you a job. You should spend your years/month on LeetCode/HackerRank etc. Hear from me, who has applied multiple AI/ML/DL techniques to solved real life problem, won many competitions against Phds, but have been not been able to get good enough calls from any good company and feel lost in space of LeetCode.
No, I don’t think so. Its just leetcode..LeetCode..LeetCode
Communication is definitely an issue. I have no idea what this means: "If you are ML/DL practitioner and looking out for job, please say good but to you AI/ML/DL hard earned knowledge"
Sorry OP, considering that you don’t have a Ph.D that’s what’s preventing you from getting positions. Me, (A Ph.D level DL/ML Professional) has no issue landing high TC jobs. In fact I stopped having to apply for jobs back in 2017 because recruiters reach out to me. ML/DL is still a very “academic” field. The academic world is incredibly snobby. As a Ph.D who preferred to go into AI project management making a very good salary, even more so than the majority of my professors, I can say a hard nosed academic would look down at my job since I am not doing pure research. Even a Master’s in the field is not really “enough” as they will not be seen as golden as a Phd, UNLESS, you got your masters under a leader like Andrew NG, or Geoffrey Hinton. I say this not to “brag” but to give a realistic perspective. Even so, I value the foundational knowledge as well such as optimization, because DL is essentially a fad. When all you do is kaggle, and take a few coursera courses, you are a fad DL “practitioner”. When you go through school, take all the math, physics, probability, statistical, machine learning courses etc. You are a person with a breadth of knowledge who also happens to study ML/DL and thus you are flexible in your knowledge.
Agreed. I think a lot of these jobs are looking for proof that you can carry out novel research. Pubs in NeurIPS/ICML/ICLR should draw attention regardless of degree level.
Very well said, thats the reason I am also pursuing masters in ML after working 5 years in this domain. I think I should strip all my ML/DL work from CV to get more Software Engineering job. Also, I have seen that even a irrelevant Phd in Social Science has much more value in this domain that applied knowledge and work experience! And they say there is no bais to have a PHD!
"Please say good" good. I don't understand this post. You have to communicate your ideas and let the interviewer know your thought process. Listening to feedback also helps. The first response mentions communication and you respond by saying "I don't think so". Interviewers can provide hints when you are off track, if you ignore it and think you know better, that is another way to fail an interview.
Why is DS/ML diff from software engineers? I know the skilss are different but its not like software engineers do Leetcode kind of problem solving in our real jobs In all fairness job interview standards should be same for everyone 😂
Try MLE positions, and yes whatever roles that require coding will test you on coding.
Same story bro. I am non-CS Masters and I do ML/DL at work. I have a hard time getting interview calls. The experience itself doesn't get me calls. I am planning to go back to school to get a CS masters. My career has been at a standstill for some time now, and I am unable to get out if it. Unfortunately, I feel I wasted a few precious years of my life and a lot of $ getting a non-CS masters. All the predictive models I have built at work using regularization, elastic or neural nets apparently hold no value because I didn't study caching and I can't reverse a linked list. *crying* *crying buckets*
Well, can you refer us to some of your publications!
Do you think communication might be an issue?
Boom goes the dynamite