Society's Backend 09月25日
当前AI就业市场分析
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当前AI就业市场处于后疫情时代的前疫情高峰期,每日招聘职位数量与疫情前持平,但职位分布高度倾斜。主要招聘方向包括AI五个核心角色,公司寻求的必备技能和经验,以及就业机会的地理分布和薪酬结构。文章分析了市场现状,并提供了应对策略。

💼 当前AI就业市场处于后疫情时代的前疫情高峰期,每日招聘职位数量与疫情前持平,但职位分布高度倾斜,呈现出不均衡的结构。

🛠️ 公司在招聘时主要关注AI五个核心角色,包括机器学习工程师、数据科学家、AI研究员、算法工程师和AI产品经理,这些角色各有侧重,要求应聘者具备不同的专业技能和实践经验。

🧠 必备技能方面,公司寻求的数据分析和建模能力、编程语言知识(如Python、R)、机器学习框架掌握(如TensorFlow、PyTorch)以及良好的问题解决能力是关键,这些技能是应聘者获得工作机会的基础。

📊 经验方面,公司更倾向于招聘有实际项目经验或实习经历的候选人,特别是在特定行业或领域的实际应用经验,这能帮助应聘者更快地适应工作环境并做出贡献。

💰 就业机会的地理分布和薪酬结构也呈现出明显的不均衡,一些地区和行业提供了更高的薪酬和更多的职位机会,而另一些地区则相对较少,这需要应聘者根据自身情况做出合理的选择。

Welcome to the first of many career-focused articles within ML for SWEs! This week, I’ll be going over the strange reality of the current job market and tips I have for you. I’ll be going over the following topics in the near-future:

Thank you for supporting ML for SWEs! If you aren't a paid subscriber and you want to get the career-building resources, you can subscribe for just $3/mo for a limited time. If you'd like to support ML for SWEs but $3/mo is unreachable for you shoot me a message.

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First, a quick update to ML for SWEs: I’ve decided to make the career-focused articles and resources paid. This means no technical resources will ever be paywalled and everyone will get access to articles that help you understand machine learning.

By paywalling the career resources, paid subscribers can have a more immediate return on investment and get more niche resources to further their career. I’ll still be doing paid-only AMA/chats (wanting to do this weekly) and paid subscribers will get access to my resources including Discord feeds and any other one-off resources I come up with (thinking about sharing my resume guide soon 🤔).

I understand this is different from what I’ve said before so if this makes ML for SWEs not worth paying for, shoot me a DM. Thank you for reading this. Now let’s get on to the actual article!


The job market is is a weird place right now. Anyone who tells you the job market sucks is right, but it's worth taking a deeper look into things.

Right now, it seems hiring is at a post-COVID but pre-COVID boom hiring level. This means the jobs posted each day are equivalent to what was posted before COVID hiring caused the market to take off but after COVID itself caused a dip. At first, this doesn't seem terrible but the distribution of jobs is highly skewed in two ways:

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AI就业市场 AI招聘 机器学习工程师 数据科学家 AI研究员
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