Research Scientist Efficient AI (

About the Group/Team

Were 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 Canvas creative intelligence engine. We collaborate globally to ship research that makes a real impactfrom smart editing to AI video toolsat 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 Canvas core products

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

Qualifications :

Youre 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

• Youre proficient in tools such as Python PyTorch Transformers Diffusers Megatron DeepSpeed and cloud platforms

• Youre a clear communicator who can collaborate effectively across teams

Additional Information :

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!

Remote Work :

No

Employment Type :

Full-time