一位求职者在Hacker News上分享了自己的求职经历，揭示了公开推荐制度存在的问题。该求职者在发布了包含物理学、C++、CUDA、GPU编程、机器学习和LLM推理等背景信息的求职帖后，短时间内收到了多个不同人员针对同一职位的推荐，每份推荐都携带不同的推荐码1。
这些推荐目标均为高级软件工程师职位，而这位求职者本人正在完成博士学位，自评并非该职位的明显适配者1。推荐成功后的奖金为$1,500，仅在候选人被雇佣时支付1。求职者分析认为，这些推荐者可能是通过关键词自动匹配进行联系，而非基于真实了解其背景和能力，使公开推荐计划演变成了为争夺奖金的垃圾邮件竞争1。
A job seeker who posted about their background on Hacker News received multiple referrals for the same Senior Software Engineer position from different people, each with distinct referral codes 1. The candidate's expertise spans physics, C++, CUDA, GPU programming, machine learning, and LLM inference 1.
The candidate analyzed the pattern and concluded that the referrers were likely matched automatically based on keyword searches rather than being personally familiar with their qualifications 1. This suggested that public referral programs, which offer $1,500 in compensation upon successful hire 1, have become susceptible to spam-like competition among referrers seeking financial incentives rather than genuine professional recommendations 1. The candidate, who was completing a doctoral degree and acknowledged not being an obvious fit for the senior-level position 1, highlighted how such programs can be gamed when referral information is disclosed openly.
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