Machine Learning Researcher – On-device AI theory and algorithm
Qualcomm Technologies, Inc.
Corporate Research & Development at http://www.qualcomm.com/about/research
Engineering – Software
South Korea – Seoul
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. We are based in Seoul and work together with our other team members in San Diego, Amsterdam, and Beijing.
We are looking for the deep-learning researchers interested in developing new theories and algorithms on the following areas:
• Unsupervised / semi-supervised / self-supervised learning
• Federated learning
• Meta-Learning: few-shot learning
• Life-long learning
• Domain adaptation / knowledge transfer
• Deep generative models
• Representation learning
• Adversarial attacks, examples
• Anomaly detection
• Multi-modal context aware
The developed theories and algorithms can be applied to computer vision, audio, and speech tasks such as image classification, image generation, 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 technologies to develop can be deployed on the mobile device applications and has a great worldwide impact on the on-device learning algorithms using Qualcomm chips.
• Machine learning knowledge and experiences
• Recent deep learning research experiences
• Algorithm implementation experiences using python with deep learning platform, e.g. PyTorch, TensorFlow.
MS or Ph.D.s degree in Electrical Engineering or Computer Science or related area
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.