Meng Han 韩猛

Building foundation models at StepFun. Recruiting.

Technical Recruiter · 基座大模型 / Infra · StepFun · Beijing, China · 北京

Who I'm hiring

I lead technical recruiting for foundation models and infrastructure at StepFun. If you work on large models, systems, or safety — research or engineering — reach out.

Foundation Models

Pre-training / Post-training / Multimodal / Long-context

Inference & Infra

Training frameworks / Inference / Distributed systems

AI Safety

Safety evaluation / Alignment / Mechanistic interpretability

About

I lead technical recruiting for foundation models and infrastructure at StepFun.

Before StepFun, I owned algorithm and infrastructure recruiting for Meituan's LongCat foundation model team; earlier I worked on technical talent at ByteDance and Xiaohongshu. Always internet and AI companies, watching the same pool of people.

Recognized as Meituan's Benchmark Recruiting Manager (2024) and Xiaohongshu's HR Team Best Potential Award (2021).

Most of my time goes into matching technical directions with talent supply: reading papers, tracking team roadmaps, and mapping how frontier model teams are staffed. This blog is where I write down what I see along the way.

Field Notes on Recruiting

What I see standing next to the front line. Not technical analysis — the supply side of people: who is building, where they come from, what they cost, how to find them.

Team Breakdown

How frontier model teams are actually assembled, and who the key nodes are.

Talent Market

Which backgrounds are appreciating, which are depreciating, and why.

Method

Finding people from papers, judging signal, improving response rates.

Field Notes

Real fragments from recruiting: reasons for rejection, windows of opportunity, unexpected patterns.

→ Read what I've written

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