最大化进入大型人工智能公司的机会
1 分•作者: flu_bar•9 个月前
我正在考虑申请 Anthropic。我正在查看他们期望优秀候选人做过的“代表性项目”。
[https://job-boards.greenhouse.io/anthropic/jobs/4632830008](https://job-boards.greenhouse.io/anthropic/jobs/4632830008)
* 为大型语言模型实现低延迟、高吞吐量的采样
* 构建系统性能的量化模型
* 设计并实现一个运行于复杂网络拓扑结构下的容错分布式系统
* 调试容器化环境中内核级别的网络延迟峰值
我在一家 FAANG 公司工作，但对这些项目几乎没有经验。我问了 ChatGPT，并列出了一份小型项目清单。我计划每天花几个小时来积累经验。
大多数成功的申请者通常都有这些项目的经验吗？
这对我来说感觉有点像先有鸡还是先有蛋的问题，因为我想在那里工作的原因正是为了获得在这个领域的经验。
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I was thinking about applying to Anthropic. I'm looking at some of the "representative projects" that they presumably expect strong candidates to have done.<p>https://job-boards.greenhouse.io/anthropic/jobs/4632830008<p>> Implement low-latency high-throughput sampling for large language models
> Build quantitative models of system performance
> Design and implement a fault-tolerant distributed system running with a complex network topology
> Debug kernel-level network latency spikes in a containerized environment<p>I work at a FAANG and I have little to no experience with any of these. I've asked chatgpt and come up with a list of mini-projects. I plan to devote a few hours every day to build up the muscle.<p>Do most successful applicants typically have experience with these kinds of projects?<p>It feels like a bit of a chicken-and-egg problem to me, as the reason I'd like to work there is precisely to get experience in this domain.