Machine Learning (NAVER CLOUD AI)
Job description of AI and ML research of NAVER AI Lab
Publication at top AI venues and contribution to NAVER and AI communities through impactful research
- Research intern (remote work available): OO
- Next generation of backbones for image, video, and audio recognition.
- Novel neural architecture design (e.g., NAS).
- Object recognition (e.g., classification, detection, segmentation, retrieval, etc.).
- Lightweight and energy-efficient models (e.g., pruning, quantization, compression).
- Learning with large-scale insufficient annotations (e.g., weakly- / self- / semi-supervised learning).
- Novel learning algorithms for NNs (e.g., normalization, optimization, etc.).
- Generative models for image, video, text, and audio.
- Uncoditional & conditional image generation
- Image-to-image and vid-to-vid translation
- Disentanglement and controllability
- Cross-modal generation
- Audio and music generation
- Effective learning algorithm for generative models
- Style transfer and superresolution for images and videos
- Neural render and superresolution
- Hyper-scale language models and their extensions.
- Controllable LM.
- Multimodality extension.
- New evaluation metrics and protocols
- Extension to dialogs, QA, summarization, content generation, etc.
- Human computer interaction and interactive AI.
- Accessibility
- Computational Interaction
- Computational Social Science and Social Computing
- Data-driven Interface Design
- Human Computation
- Visualization
- Representation learning for semi-structed or structured data.
- Graph representation learning
- Time-series prediction and representation learning
- Trustworthy AI.
- Explainable AI and causal inference.
- Robust machine learning (adversarial robustness, domain generalization).
- De-biased and fair machine learning.
- Proper uncertainty estimation (e.g. prediction calibration, probabilistic machine learning).
- Privacy-preserving AI (e.g. differential privacy, federated learning, etc.).
- Audio recognition.
- Automatic speech recognition (ASR).
- Audio-visual speech recognition.
- Other topics.
- Healthcare AI.
- AI for social good.
- Research intern
- Experience on research collaborations and paper writing in related fields.
- Proficient programming skills in Python (PyTorch).
- Preferred
- Currently in an MS or PhD programme in CS, EE, mathematics or other related technical fields.
- Proficient track record of publications at top-tier conferences in machine learning, computer vision, natural language processing, audio, hci, and speech.
- Research intern
- Algorithm coding test (more than two).
- Job interviews (more than one).
- Contact: [email protected]
Last modified 12d ago