Skip to content

Open nowPosted 86 days ago

具身操作算法工程师实习生(触觉与多模态方向)

anker-in/campushirecn495 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen now具身操作算法工程师实习生(触觉与多模态方向)anker-in/campushirecn · 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 anker-in/campushirecn'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.

12.3% of postings close within 7 days. Measured by our own scanner across the market. anker-in/campushirecn postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 86 days ago

anker-in/campushirecn median: 1 days open

The posting

我们正在寻找一位对具身智能(Embodied AI)与机器人操作有浓厚兴趣的研发实习生。您将在资深研究员和工程师的指导下,参与机器人触觉感知与多模态学习算法研发,探索视觉、触觉、语言及机器人状态等多源信息的融合建模。 您将参与构建面向真实机器人操作场景的感知与策略模型,研究触觉信息在机器人精细操作中的作用,并参与从数据处理、模型训练到真机验证的完整研发流程,为下一代具身智能模型(VLA、Diffusion Policy等)提供核心算法支持。

岗位职责 1.触觉感知算法研发: 参与机器人触觉表示学习与Touch Encoder开发,探索触觉信息建模及多模态融合方法,提升机器人对接触状态、受力变化及操作过程的感知能力。 2.多模态模型开发: 参与视觉、触觉、语言、本体状态(Pose / Joint)等多模态信息融合,支持VLA、Diffusion Policy等模型训练与优化。 3.机器人操作算法研究: 参与接触密集(Contact-rich)场景下的机器人操作算法开发,探索触觉辅助抓取、装配、插接等精细操作任务。 4.模型训练与实验验证: 参与机器人数据处理、模型训练、实验评测及真实机器人验证,持续优化模型性能与泛化能力。

任职要求 1.算法基础: 熟悉Python,掌握PyTorch等主流深度学习框架,具有良好的代码能力。 2.深度学习基础: 熟悉Transformer、多模态学习或生成式模型等相关方向,对模型训练与实验分析有一定经验。 3.具身智能认知: 对机器人操作、模仿学习(Imitation Learning)、VLA、Diffusion Policy等技术方向有一定了解,对多模态感知与机器人算法充满兴趣。 4.学习能力: 具备良好的论文阅读能力、问题分析能力和工程实践能力,愿意探索真实机器人系统。

加分项 1.有机器人触觉、力觉传感器(压阻式、电容式、GelSight、DIGIT、Xela、6D Force/Torque等)相关经验; 2.熟悉OpenVLA、π0、Diffusion Policy、RDT等具身模型或相关训练框架; 3.有ROS、真实机器人(Franka、UR、灵巧手、双臂等)开发或部署经验; 4.有机器人、多模态学习或具身智能相关科研、竞赛或开源项目经验。

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against anker-in/campushirecn'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 anker-in/campushirecn'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

    anker-in/campushirecn'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.
Get the CV for this job

From $25 per CV, paid once. No subscription.

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.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and 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.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.