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Open nowPosted 99 days ago

多模交互仿真评测工程师

agirobot/referral515 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模交互仿真评测工程师agirobot/referral · Beijing, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on agirobot/referral's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. agirobot/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 99 days ago

agirobot/referral median: 1 days open

The posting

-组内多模态大模型在不同硬件环境联调与功能验证。 -基于标准评测集和业务数据，完成离线跑批、效果对比评测，输出结构化评测报告。 -负责评测数据和业务样本的清洗、标注校对与一致性校验。 -参与评测硬件环境的规划、组装、系统安装与基础环境配置。 -编写部署脚本、评测流水线、数据处理工具，支持内部测试平台的开发维护。

必备： -计算机/电子/自动化等相关专业大专及以上学历 -熟练 Linux 及常用命令，能写 Shell 与 Python 脚本 -了解 PyTorch 等深度学习框架，能完成模型加载与推理测试 -了解 GPU 环境基础（CUDA、Docker 等），能排查常见环境问题 -做事细致，能按规范记录过程与结果

加分： -有大模型（LLM/VLM/多模态）集成或评测经验 -熟悉 vLLM / Triton / TensorRT 等推理框架 -有硬件装机、系统调试经验 -熟悉常见评测指标，有撰写评测报告经验

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  1. A CV for this posting

    Written against agirobot/referral's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on agirobot/referral's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    agirobot/referral's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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