I am an applied scientist with a phd + 2 yrs of industry experience in deep learning and generative ai. Our team got impacted by recent layoffs at AWS. I’m looking for research scientist/engineer roles at Apple, Salesforce, Huggingface, Anthropic, Cohere, Inflection.ai, Stability.ai, Adept and I appreciate referrals 🙃 Let me know if you’re willing to provide a referral and I can give more info. Also let me know if you know promising start-ups looking for research scientists/engineers. Thanks! #referral #apple #salesforce #huggingface #cohere #anthropic #inflection #stability #adept
Damn I thought that was the hottest field these days. As someone considering it, do you have any insight? Wish I could refer you
Thanks, appreciated. The field is relatively easy to get into nowadays. Everyone and their grandma can train a model, let alone make an API call, and write a blog post about it. It is still harder to master so that you’d be able to go deeper and fix issues, but still no huge deal. If you’re doing it as a job though, at the end of the day your job security depends on the success of the product, which depends more on business/product decisions rather than your model’s performance (unless it’s a shitty rng ofc). In my short tenure, I’ve seen failed features based on the state of the art models and succeeding features based on 30-year-old methods because of product demand. I’d say if you decide to get into the field, make sure you like the job/money/benefits etc enough so you would be ok with continuously keeping up with the field. It’s not like you get into it and it’s done. The field is changing super fast and it can be hard to keep up with, especially if you get caught in day-to-days of your job.
Dm for Raytheon
Dm me
Hi, can I DM you for a referral as well?
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My bad. Sorry I haven't noticed it.