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Open nowPosted 256 days ago

AI for 游戏研究员

vrfi1sk8a0/referral193 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowAI for 游戏研究员vrfi1sk8a0/referral · Shanghai, 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 vrfi1sk8a0/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.

13.8% of postings close within 7 days. Measured by our own scanner across the market. vrfi1sk8a0/referral postings stay open a median of 8 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 256 days ago

vrfi1sk8a0/referral median: 8 days open

The posting

用你的审美与专业经验持续拉高 AI 在游戏开发领域的能力，参与模型训练、评测全流程，亲手让人人都能用AI做出3A大作的科幻场景成为现实！

  • 评估模型能力：构建评测体系，系统性评估模型在各类游戏开发任务上的表现
  • 探索模型游戏开发能力天花板：基于模型+harness+专家经验，探索最大化发挥模型能力的办法，不断拓展人+模型在游戏开发领域的极限边界
  • 改进自研模型：分析自研模型在不同游戏开发任务中的不足，沉淀结构化的改进建议，构建游戏训练数据管线，持续提升自研模型游戏开发能力
  • 标注管理：参与游戏开发的评测、训练数据标注标准制定与日常标注任务、标注人员管理，建设一流的游戏开发标注能力，持续产出高质量评测、训练数据。
  • 本科及以上，计算机相关专业优先
  • 3年以上游戏或者类似应用开发经验，至少全流程完整参与过一个商业级项目，熟悉游戏开发工作流，了解开发、TA、策划、测试的工作内容
  • 扎实的编程能力，掌握游戏开发常用数据结构与算法，熟悉着色器编程（HLSL/GLSL）
  • 至少熟悉一种主流游戏引擎，UE5优先（Nanite、Lumen、Virtual Shadow Maps等），熟悉问题排查、性能优化、效果提升的手段
  • 丰富的游戏开发经验与理论知识，了解渲染管线（实时渲染）、物理系统（刚体动力学、布料模拟、载具物理、流体模拟）、动画系统（骨骼动画、材质动画、程序化动画）、特效系统（VFX）、网络系统、GamePlay等
  • 对AI有兴趣和相关实践
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  1. A CV for this posting

    Written against vrfi1sk8a0/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 vrfi1sk8a0/referral's form

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

  4. Every reply, sorted

    vrfi1sk8a0/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

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  6. The interview in your calendar

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    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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