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Canva

AI大模型算法|LLM/VLM Pre-training

  • Seen live on Canva's site today
  • Mid level
Pay
Not stated
Location
Beijing, Beijing, China
Open for
7 days
First seen
Oct 28, 2026
Apply on Canva's site (opens in a new tab)

Posting record

No flags

Open 7 days

The posting's record, oldest first
  1. Ghostless first sees this listing
  2. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age.

Last checked Nov 4, 2026.

How well do you match?

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Company Description

Join Canva’s Beijing AI team to develop frontier language and multimodal generative models using high-performance GPU clusters and high-quality datasets. You’ll collaborate with research, engineering, and product teams to bring research advances into products that empower hundreds of millions of users.

Job Description

What you’ll do

  • Define and lead research initiatives in LLM / VLM pre-training and multimodal generation, informed by frontier research and product needs.
  • Design and run large-scale training experiments, analyze results, and improve model capabilities, training efficiency, and stability.
  • Explore model architectures, training methods, post-training and reinforcement learning algorithms, and high-quality synthetic data pipelines.
  • Collaborate across teams to bring models into production and share findings through technical documentation, publications, and presentations.

Qualifications

  • Core pre-training expertise gained on teams such as Qwen, Kimi, GLM, or DeepSeek .
  • Experience with autoregressive or diffusion models for text-to-image, video, or 3D generation.
  • Deep expertise in multimodal architectures, pre-training data, reinforcement learning, or synthetic data.

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