- Research on design / model / execution of efficient ML algorithm on hardware architectures
- Research on novel ML or computational imaging algorithms for applications and optimize existing algorithms
- Research on development and optimization of edge computing algorithms (ML and non-ML)
- Collaboration with and support of other researchers across various disciplines
- Communication of research agenda, progress and results
- Prototyping, building and characterizing experimental systems and custom hardware
- Currently has, or is in the process of obtaining a PhD in the fields of Computer Science, Electrical Engineering, or related field
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- 2+ years research experience in one or more of the following: Developing machine learning and computer vision models, Optimization of edge computing algorithms, Distributed compute architectures
- 2+ years experience programming in Python/C++
- Experience with Deep Learning frameworks (Pytorch, TensorFlow, etc)
- Interpersonal skills: cross-group and cross-culture collaboration
- Experience in multimodal ML algorithms (object detection, classification, tracking, keyword spotting, ASR, etc)
- Experience in deploying ML algorithms to embedded HW (Raspberry Pi, NVidia Jetson, FPGA, etc.)
- Experience w/ LLM is a plus
- Experience w/ NAS or developing and deploying algorithms with hardware constraints is a plus
- Experience in privacy preserving ML algorithms
- Proven track record of achieving significant results, as demonstrated by first- and/or co-authored publications at leading workshops or conference (e.g., CVPR, ICCV, TinyML, NeurIPS, ICML), patents, or grants
- Intent to return to degree program after the completion of the internship.
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