Skip to main content

Research MLE (Training Optimization)大模型训练优化工程师 at Canva

Seniority in posting: senior

Language
Setup
Hybrid
Location
Beijing
Type
Full-time
Level
not_specified
Posted

Description

Canva is hiring a Machine Learning Engineer to design, implement, and optimize large-scale distributed training systems for multimodal and foundation models. The role focuses on improving GPU utilization, communication overhead, and memory efficiency; partnering with research and modeling teams; and applying frameworks such as Megatron-LM, NVIDIA NeMo, FSDP, and Triton, including custom CUDA or Triton kernels. Candidates should have strong LLM, multimodal AI, or diffusion-model knowledge, Python proficiency, PyTorch or JAX expertise, and experience with distributed training optimization.

For job seekers

Ready to find a role that actually fits?

Upload your résumé, start a Job Search Thread, and let Metaintro rank real openings against your experience — then guide you from search to offer.

Match

Compare live roles against your current evidence.

Position

Turn proof projects into role-specific applications.

Improve

Use market feedback to keep the skill plan current.

Return to navigation