Education and experience:
PhD in CS/EE or related research experience in academia or industry
We will consider various levels of experience in relevant research areas
Key Skills:
Experience with ML frameworks (PyTorch, TensorFlow, JAX) and efficient ML (incl. quantization, pruning, sparsification, distillation, etc.)
Experience with deployment on embedded/mobile devices (such as smartphones, with mobile CPU, GPU, NPU)
Experience with distributed and multi-GPU training at scale
Fluency in Python, C/C++ and GNU Linux
Proficiency in code version control, Git and GitHub
Experience in working as member of a team
Solid publication record of papers in top-tier venues, such as NeurIPS/ICLR/ICML/MobiCom/MobiSys/ICCAD/MLSys
Any of the following skills will also be positively considered:
AMRT1_UKTJ
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