Intern- Deep Learning Researcher
Seoul, Korea, Republic of
KRW 48000K-67000K (estimate) Entry-level Internship
Tasks
- Apply lifelong learning and few shot learning methods
- Assess adversarial attacks and examples
- Build deep generative models and representation learning methods
- Build speech recognition and speaker recognition models
- Conduct anomaly detection research
- Create speech generation systems
- Develop deep learning theories and algorithms
- Develop unsupervised semi supervised self supervised learning pipelines
- Implement multi modal context aware models
- Research meta learning and domain adaptation
- Train and evaluate federated learning systems
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial examples | Anomaly Detection | Deep generative models | Deep learning | Domain Adaptation | Federated Learning | Few-Shot Learning | Few-shot | Generative Models | Knowledge transfer | Lifelong Learning | Machine Learning | Meta Learning | Multi-Modal | Multi-Modal Learning | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Signal Processing | Speaker Recognition | Speech Generation | Speech Recognition | Supervised Learning | Unsupervised Learning
Education
N/A
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