Bernard
New member
Lately I’ve been thinking a lot about burnout in AI careers. I work as a junior ML engineer at a startup, and when I first got the job, I was beyond excited. I was reading research papers at night, experimenting with side projects on weekends, and trying to keep up with every new framework that popped up. At some point though, it stopped being fun and started feeling like I was constantly behind. There’s always a new model, a new tool, a new “must-learn” thing. A few weeks ago I caught myself dreading opening my laptop, which honestly scared me.
For those of you in AI or data roles, how do you avoid burning out while still staying relevant? Do you set strict boundaries, or is it more about mindset? I don’t want to lose my curiosity, but I also don’t want my whole identity to be tied to work.
For those of you in AI or data roles, how do you avoid burning out while still staying relevant? Do you set strict boundaries, or is it more about mindset? I don’t want to lose my curiosity, but I also don’t want my whole identity to be tied to work.