Log inSign up free
  • Home
  • Profile
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Portfolio
  • More tools
    • Hiring
  • Settings
All jobs
CACanva logo

Canva

Beijing, cn

Research Scientist - Efficient AI (高性能大模型).

FULL TIMEDATA & ML

About the Group/Team

We're the CORE team within the Generative AI supergroup. Our mission is to invent foundational technologies that will power the future of AI-assisted design. From large-scale models to groundbreaking research, our team builds the technical core of Canva's creative intelligence engine. We collaborate globally to ship research that makes a real impact—from smart editing to AI video tools—at massive scale.

At the moment, this role is focused on:

  • Designing and advancing state-of-the-art generative AI models across multimodal domains

  • Improving AI efficiency across the stack, including:

    • Kernel and graph optimization

    • Model compilation and systems optimization

    • Model compression techniques (quantization, distillation)

    • Efficient model architecture design

    • Scalable inference systems

  • Collaborating cross-functionally with research, engineering, and product teams to bring innovations into production

  • Translating research breakthroughs into impactful features within Canva’s core products

  • Contributing to the broader AI community through publications at top-tier conferences

You’re probably a match if you have:

  • You have strong expertise in foundation models, particularly in generative AI (e.g., diffusion models, LLMs, VLMs)

  • You bring experience in AI efficiency, such as:

    • Low-level optimization (kernel/graph)

    • Model optimization (quantization, distillation, compression)

    • Efficient architecture design and inference systems

  • You have a strong academic and/or industry track record, including publications in leading conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or meaningful open-source contributions

  • You’re proficient in tools such as Python, PyTorch, Transformers, Diffusers, Megatron, DeepSpeed, and cloud platforms

  • You’re a clear communicator who can collaborate effectively across teams

该岗位现面向所有经验阶段的候选人开放,包括社会招聘、应届毕业生,同时开放实习生岗位。工作地点为北京。欢迎申请,期待你的加入!

Notice: This position is open to candidates at all experience levels, including experienced candidates, graduates, as well as internship opportunities. The role is based in Beijing. We welcome your application and look forward to having you on board!

Pay
Not stated
Where
Beijing, cn
Work
Not stated
Type
Full time
Posted
22 Oct, 2026
Apply on the original postingSign in to apply

Unverified board

more at Canva.

22 Oct, 2026

Canva

Country Manager, Argentina

CACanva logo
  • Full time
  • Remote

Buenos Aires, ar

Remote

Details
22 Oct, 2026

Canva

Creative Strategist, Growth Marketing

CACanva logo
  • Full time
  • Remote
  • Sales & Marketing

Berlin, de

Remote

Details
22 Oct, 2026

Canva

Marketing Campaign Specialist (South Korea)

CACanva logo
  • Full time
  • Sales & Marketing

Seoul, kr

Full time

Details

similar roles.

22 Oct, 2026

Hato Hone St John

AI Programme Lead

HHHato Hone St John logo
  • Contract
  • Senior level
  • Data & ML

Auckland, nz

Contract

Details
31 Mar, 2026

seic

Senior Data Scientist

SEseic logo
  • Senior level
  • Data & ML

IND-Hyderabad-GCC, India

Salary not listed

Details
22 Jun, 2026

seic

Sr Analytics Engineer

SEseic logo
  • Senior level
  • Data & ML

IND-Hyderabad-GCC, India

Salary not listed

Details
22 Oct, 2026

WNS Global Services

Lead Data Engineer

WGWNS Global Services logo
  • Full time
  • Senior level
  • Data & ML

London, gb

Full time

Details
22 Oct, 2026

WNS Global Services

Group Manager - AI Research

WGWNS Global Services logo
  • Full time
  • Leadership
  • Data & ML

Gurgaon, in

Full time

Details
5 Oct, 2026

sifive

Senior Software Engineer, AI/ML Heterogeneous Systems

SIsifive logo
  • Senior level
  • Data & ML

Hsinchu +1

Salary not listed

Details