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:
• Experience in real-world mobile system deployment
• Research experience in efficient Generative AI, including language, visual or multimodal tasks. This includes different aspects of the pipeline, from data and preprocessing to large model adaptation, fine-tuning and on-device optimization.
• Android operating system and Android app development
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