Ask HN: What's the best hands-on path to learn ML inference infrastructure?

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[ARTICLE · art-74611] src=news.ycombinator.com ↗ pub=2026-07-26T20:28Z topic=artificial-intelligence verified=true sentiment=· neutral

Ask HN: What's the best hands-on path to learn ML inference infrastructure?

A backend engineer with 8+ years of experience in APIs, distributed systems, and cloud infrastructure is seeking advice on transitioning to ML inference infrastructure roles, asking HN for the best hands-on projects or experience that would convince hiring managers they are ready for model serving and batching work.

read1 min views1 publishedJul 26, 2026

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.

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.

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?

Comments URL: [https://news.ycombinator.com/item?id=49062088](https://news.ycombinator.com/item?id=49062088)

Points: 2

source & further reading

news.ycombinator.com — original article We need to rethink tech stack Ask HN: Anyone suffering from the tyranny of the Waiting Equation? Ask HN: Should I Combine Global Knowledge, Internet Search, and User RAG

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