Qualcomm Machine Learning Research Engineer – On-device learning in Seoul, South Korea
Qualcomm Korea YH
Engineering Group, Engineering Group > Machine Learning Engineering
Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
Qualcomm AI Research is looking for talented machine learning research engineers with experience in machine learning to enable real-world deep learning. Join a high-caliber team of engineers building advanced machine learning technology and best-in-class solutions. We are based in Seoul and work together with our other team members in San Diego, Amsterdam, Toronto, and Beijing.
We are making AI technology be around us at edge devices, attend and assist people and learn from interaction without many labels, together with other devices in a federated way. The selected candidates will work on one of the topics in the list below.
Test-time adaptation, Efficient learning/adaptation methods for on-device learning
Domain adaptation, Domain generalization, Knowledge transfer
Unsupervised / self-supervised / semi-supervised learning
Life-long / continual learning
Anomaly detection, Out-of-distribution detection
The developed theories and algorithms can be applied to computer vision, audio, and speech tasks such as image classification, semantic segmentation, video classification, audio scene detection/classification, automatic speech recognition, and speaker identification/verification. Also, the research results can be published as a conference paper.
The ideal candidate will have good capability in both deep learning research and practical implementation skills.
The developed technologies will be deployed on mobile device applications and have a great worldwide impact on the on-device learning algorithms using Qualcomm chips.
Machine learning knowledge and experiences
Recent deep-learning research experiences
Good programming (e.g., Python) skills are required to develop research prototype
Algorithm implementation experiences using python with deep learning platforms, e.g., PyTorch, TensorFlow
Applicants : If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport
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