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