DeepSeek's Cross-Disciplinary Hire: No Major Required, 8+ Years Experience Filtered Out
量子位 · wechat · 2026-10-10
QbitAI analyzes DeepSeek's new "AI cross-disciplinary talent" posting: no major or years-of-experience limits, a one-line job description, and five plus-factors — competition gold medals, mastery in some field, an influential open-source project, having founded a startup, and "taking the road less traveled."
Contradictions and screening logic
- The poster says "we never look for geniuses," yet the first line demands "beyond-ordinary ability."
- Headhunters say DeepSeek caps experience at 3-5 years and often rejects 8+ year candidates outright; anything below a gold medal is largely ignored; HR confirms it avoids "big-company flavor" — people fluent in process and methodology whose first instinct on a novel problem is to find a benchmark.
- The team includes a physics major who self-taught AI and an ops engineer who knew nothing about model training, both doing core work. Liang Wenfeng says core technical roles are mostly fresh grads or people with 1-2 years of experience, and this unburdened cohort built V2/V3/R1.
Why "wild talent"
- Liang: "Experienced people tell you directly what should be done, but inexperienced people keep exploring and find what fits the current situation."
- Frontier problems have no ready answers; deep experience may just get you to a dead end faster. The MLA architecture innovation began as a young researcher's personal interest, rooted in questioning the default architecture.
Industry parallels
- Anthropic grew from 400 to 3000 people, hiring philosopher Amanda Askell to lead its "character training" team drafting Claude's behavior guidelines, and epistemologist Ben Levinstein, who gave up tenure. One tally of 1680 Anthropic engineers found 70 with physics backgrounds, 78 math, 13 philosophy.
- Google DeepMind hired Henry Shevlin from Cambridge with the title Philosopher, studying machine consciousness and AGI readiness.
- The shared judgment: coding alone can't solve what AGI faces next.
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