跳到正文
RCreddit.com·

Leaving a job to pursue a PhD [D]

AI 摘要

An ML Engineer at a startup for four years is contemplating leaving their well-paying job to pursue a PhD. The individual notes that working and doing a PhD simultaneously is not viable, suggesting that quitting their current role would be a necessary step. They are seeking human responses to their dilemma, explicitly stating they did not use AI to write their post.

时间与来源

时间显示为 UTC

显示时区:UTC

本地时区尚不可用,暂时显示 UTC。

发布当时偏移:UTC+02026年10月29日 09:28 UTC

收录当时偏移:UTC+02026年10月29日 13:01 UTC

发布
2026年10月29日 09:28
收录
2026年10月29日 13:01
来源类型
开发者社区
档位
社区
信源状态
正常

档位是按信源手工设定的编辑判断,不是逐条打分。

讨论趋势

暂无对比
最近 24 小时与此前 24 小时的快照均值对比 · 7 天曲线

百分比基于采集到的讨论信号,不代表新增评论数或独立参与人数。曲线仅用于同一话题在不同时段的比较。

I have been working as a ML Engineer at a startup for 4 years and while the environment is very good and the pay is higher than average, I'm thinking whether I want to pursue a PhD. Working and doing the PhD at the same time is not really viable so this would also potentially mean quitting.

What I don't like about the job is that I'm actually not doing any real data science and modeling. I guess I'm working on more modeling and scientific questions than most ML engineers but I'm barely scratching the surface of each problem and most problems are resolved with quick and data-driven methods. Rarely do we apply novel algorithms or do real literal reviews and R&D.

Additionally a big part of my job is actually just developing software, talking with customers, DevOps and service reliability. While I like the fact that I'm working on a variety of things I don't really have the chance to deepen my knowledge to a meaningful degree on any. With agents writing most of the code and pressure to move fast, most engineering solutions are surface-level and really I don't think that I'm advancing my knowledge and skills. The only thing that I'm actually learning is how to work with agents.

Then of course it's the problem with AI and agentic coding. I deal with a lot of slop on a daily basis and although I'm careful with my job I inevitably produce a share amount of slop myself. This is what modern startups are forced into because management wants accelerated development and competition is high. I'm having real problems with AI fatigue and too close to burnout.

I miss the times when I could work on the same topic for days or weeks, research, read, plan, do experiments and iterate on the results. Then finally, hopefully, arriving at a hypothesis that works and finding a novel idea. However, it's been 4 years since my last real research experience, during my master's thesis, and I'm quite sure that academia has gotten worse due to high saturation and AI slop.

I really don't know about how the future will be but I think that being academically inclined and liking research I may be wasting an opportunity to do a PhD before I get older. Economically it doesn't make sense for me to do that in the short term and I'm aware of that and I don't have a clear career dream in academia but I feel that I may regret it in the future and blame myself.

Is anyone crazy enough thinking about moving to academia or having done that already? I would like to hear your thoughts.

P.S. I didn't use AI to write this up and I would appreciate human responses only

来源·reddit.com