We’re looking for a systems-first engineer who thrives in fast-paced, high-impact environments. You’re deeply familiar with distributed model training at scale and understand the nuances of optimizing compute at every level of the stack. You're excited by challenges that stretch current boundaries, and you’re a strong collaborator who communicates clearly across domains.
Additional Information
大模型训练优化工程师(多模态/图像生成),技术要求:算子优化/分布式训练/GPU集群/训练框架。该岗位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。
Company Description
At Canva, we're building a future powered by AI that's as magical as it is impactful. As a Research Scientist at Canva, you'll be responsible for advancing the future of AI by experimenting with cutting-edge techniques, as well as improving models for real-world quality and performance.
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.
As a Machine Learning Engineer, you’ll lead efforts to scale and optimize the training system for our large-scale multimodal and foundation models. You’ll design distributed training systems using Megatron-LM, NVIDIA NeMo, FSDP, and Triton—pushing the limits of performance across compute, memory, and communication layers. You'll sit at the intersection of systems and AI research, directly shaping how we train the models that will power Canva’s next generation of products.
• • You’ll debug, profile, and fine-tune training workflows to unlock new levels of scalability.
Other benefits are as per company policy.
Work at office
Full time
Beijing, Beijing, cn
Applications for this job are handled on the company's own website.
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