Having a bad relation with Boss. My days are counting with current job. Had interviewed with two companies, the phone screen seems OK, but they do not want to move forward. Quite nervous and depression now: Looking for MLE position. Anybody had similar experience while looking for a new job?
Keep applying. Talk to colleagues and old friends. Get referral. Focus on saving money. Get prepared. Don't worry. Rejections are part of the game. Apply to all kinds of companies, as long as they have MLE roles.
Thank you my friend. ❤️
Same
Keep interviewing until perfection. Learn from mistakes
With all the back breaking dei work, it is ridiculous if people are still complaining. Dei people are getting more interview calls then ever so the normal people are the ones being marginalized. I'm not special so I don't need extra attention because apparently others need that. Gosh. When does this stop
It's a grueling process. Really hurt my confidence each time I've gone thru it. But I've never regretted it.
Reading the blind preview of your post, I thought you had intercourse with your manager
😂 pls forgive me as a non-native speaker
It's not you, it's me and the number of characters Blind shows in the preview.
I feel stress at the current job, especially when I am interacting with my current manager. People from other companies always treated me with kindness and respect, which is a substantial improvement compared to my current situation. Maybe you can look at it this way to eliminate nervousness.
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I'm also planning to switch as a MLE, what all did you prepare for apart from LC? The bar is just too high variance across companies making it so taxing. What sources did you prepare from? If you don't mind, if you could DM - I'm in the same boat we could discuss more about this to keep each other motivated for preparing for the switch! :)
Same boat here, lots of interviews, but nothing closed yet
Interviewed with LinkedIn. Not a leetcode questions. Kind of math and optimization behind an array sorting problem. After coding is brain teaser about ML algorithm details. For example, how to train a decision tree, why randomly forest and ensemble method can performance better.