Skip to content

Open nowPosted 127 days ago

【实习】基于大系统大算力的超大规模推荐模型建模(算法)-Data AML(北京/杭州)

ByteDance19,260 open roles

Where
Beijing, Chinese Mainland
Get the CV for this job

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

Your applicationOpen now【实习】基于大系统大算力的超大规模推荐模型建模(算法)-Data AML(北京/杭州)ByteDance · 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 ByteDance'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.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 127 days ago

ByteDance median: 27 days open

The posting

团队介绍:Data AML是字节跳动的机器学习中台,为抖音/今日头条/西瓜视频等业务提供推荐/广告/CV/语音/NLP的训练和推理系统。为公司内业务部门提供强大的机器学习算力,并在这些业务的问题上研究一些具有通用性和创新性的算法。同时,也通过火山引擎将一些机器学习/推荐系统的核心能力提供给外部企业客户。

课题介绍: 大规模推荐系统正在越来越多的应用到短视频、文本社区、图像等产品上,期望进一步通过算法与工程Co-design,探索推荐算法和大语言模型/多模态理解的深度融合主要研究方向包括:LLM4Rec、跨端跨场景的Foundation Model、千亿级参数规模的模型 和 多模态大模型。工程上研究方向包括多模态样本的高效表征、基于PyTorch架构的高性能推理引擎与训练框架构建,以及异构硬件在推荐场景下的性能极限优化;算法侧研究方向包括LLM4Rec技术路径的设计、千亿级底座模型的研发以及多模态协同训练(Co-training)等核心课题,旨在通过技术创新定义下一代工业级推荐范式。

课题挑战: 1、千亿模型的训练和推理优化; 2、多模态表征统一与高效融合难度大; 3、Foundation Model的设计和工程优化; 4、算法工程协同设计与异构硬件适配复杂。

课题价值: 1、技术价值:突破多模态表征融合、超大规模模型训练推理瓶颈,完善算法与工程协同设计体系,推动异构硬件适配与高性能框架国产化落地; 2、业务价值:提升推荐精准度与泛化能力,突破现有推荐系统模态局限,赋能短视频、文本社区等多产品,降低算力成本,助力业务规模化增长。

1、2027届及以后毕业,博士在读;计算机、软件工程等相关专业优先; 2、在推荐广告或者大模型领域有相关经验优先; 3、扎实的机器学习、NLP基础和出色的探索能力,在ACL/NeurIPS/ICML/ICLR/CVPR等会议上发表论文者优先; 4、积极性强,愿意接受挑战,具有独立解决问题的能力,良好的团队合作意识和沟通能力。

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 ByteDance'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 ByteDance'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

    ByteDance'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.