# zslomo/2019-Autumn-recruitment-experience

2019届秋招面经集合

Repository: https://github.com/zslomo/2019-Autumn-recruitment-experience
Canonical: https://ross.abutalabs.com/products/2019-autumn-recruitment-experience
License: NOASSERTION
License Family: other
Last push: 2019-03-31T11:45:25+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2958, "days_push": 2712, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1774, forks 337 (observed 2026-08-28T04:05:34.396446+00:00)

## What it is
A curated collection of 2019 autumn campus recruitment interview experiences for computer science roles in China, focused on machine learning and algorithm engineer positions at major tech companies. It includes the author's own interview write-ups, offers from other contributors, and guides on self-studying machine learning and preparing for interviews.

## Use cases
- prepare for algorithm engineer interviews at Chinese tech companies
- read real interview experiences from Baidu, Tencent, Alibaba, and ByteDance
- learn how to self-study machine learning for job hunting
- compare salaries and offer levels across Chinese tech companies
- find a campus recruitment preparation guide for autumn hiring
- understand what ML algorithm interviews at Ant Financial or Pinduoduo are like

## When to choose
- you are a student preparing for Chinese tech company campus recruitment
- you want first-hand interview question experiences for ML/CV algorithm roles
- you need realistic salary and offer-tier benchmarks for 2019-era China tech hiring

## When to avoid
- you need current interview questions, as the content is from 2019 and largely frozen
- you are looking for software or code rather than written interview notes
- you need interview prep for non-Chinese or non-algorithm roles

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: tutorials, education, machine-learning
- platform: -
- tags: interview-experience, job-hunting, campus-recruitment, chinese-tech-companies, algorithm-engineer, 2019-autumn-recruitment, interview-preparation, career, web-server

## Member repositories
- zslomo/2019-Autumn-recruitment-experience (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:34.396446+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:25:24.757651+00:00, confidence not recorded.
  - readme: https://github.com/zslomo/2019-Autumn-recruitment-experience (fetched 2026-08-28T04:05:34.396446+00:00, sha bcc7ac456ef4)
- Data as of 2026-08-30T08:39:29.467469+00:00.