HN 提问：学习 ML 推理基础设施的最佳实践路径是什么？
4 分•作者: censor5•2 个月前
我是一名拥有 8 年以上经验的后端工程师。我的大部分工作涉及 API、分布式系统、流式/实时系统和云基础设施。
我正尝试转向机器学习推理基础设施领域：模型服务、批处理等，但根据我的经验，很难获得这类职位的面试机会。
对于在这个领域工作的人来说：什么样的项目或经验才能真正说服你们，一位后端工程师已经准备好从事推理基础设施方面的工作？
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I'm a backend engineer with 8+ years of experience. Most of my work has been APIs, distributed systems, streaming/real-time systems and cloud-infra.<p>I'm trying to move towards ML inference infrastructure: model serving, batching, etc. but based on my experience, it has been difficult to get a callback for such jobs.<p>For people working in this area: what projects or experience would actually convince you that a backend engineer is ready to work on inference infra?