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Open nowPosted 46 days ago

机器人AIGC算法工程师

agirobot/referral515 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now机器人AIGC算法工程师agirobot/referral · Shenzhen, Guangdong, 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.

11.8% 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. 4.4%3 days
  3. 11.8%7 days
  4. 18.5%14 days
  5. 35.5%30 days
  6. 45.1%60 days
This job: posted 46 days ago

agirobot/referral median: 1 days open

The posting

1、负责机器人动作、手势、表情等 AIGC 算法研究与落地，提升自然度、拟人性和表现力。 2、研究文本、语音、音乐、视频等多模态驱动的动作与表情生成，包括 Text/Audio-to-Motion、Gesture Generation、Lip Sync 等。 3、研究 Transformer、Diffusion/DiT 等生成模型，重点突破长序列生成、实时流式生成、多模态对齐与动作连续性。 4、结合机器人本体开展动作重定向、IK/FK、运动学约束及可执行性优化，推动真机部署与产品化落地。 5、建设动作及多模态数据训练、评测和迭代体系，持续提升模型泛化能力。

计算机视觉、AI、机器人、图形学等相关专业硕士及以上学历，博士优先。 1、具有 Human Motion Generation、3D Animation、Gesture/Facial Generation、Digital Human 等相关经验。 2、熟悉 Transformer、Diffusion、DiT 等生成模型及 PyTorch。 3、熟悉三维人体动画、骨骼、IK/FK、动作重定向等相关技术。 4、具备较强算法研究与工程落地能力。

加分项 1、有机器人、数字人、游戏角色动画或实时交互项目落地经验。 2、有大规模动捕/人体动作数据训练经验，熟悉 MetaHuman、Unreal Engine 等工具链。 3、有多模态生成、长序列生成、流式生成或生成式基础模型研发经验。 4、在 CVPR、ICCV、ECCV、SIGGRAPH、NeurIPS、ICLR 等顶会发表相关论文者优先。

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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

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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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3×

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  • 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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