Main R&R: Publication at top AI venues and contribution to NAVER and AI communities through impactful research
Full-time regular research scientist: OO
Research intern (remote work available): OO
Research topics (Including, but not limited to)
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
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.
New evaluation metrics and protocols
Extension to dialogs, QA, summarization, content generation, etc.
Human computer interaction and interactive AI.
Computational Social Science and Social Computing
Data-driven Interface Design
Representation learning for semi-structed or structured data.
Graph representation learning
Time-series prediction and representation learning
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.).
Automatic speech recognition (ASR).
Audio-visual speech recognition.
AI for social good.
Strong track record of publications at top-tier conferences in machine learning, computer vision, natural language processing, audio, hci, and speech.
Relevant job experiences, e.g., laboratory researcher experiences or full-time industrial research experiences.
PhD in CS, EE, mathematics or other related technical fields, or an equivalent work experience.
Strong programming skills in Python (PyTorch).
Experience with serving as an active member in the research community (e.g. reviewing activities, tutorial and workshop organization, and research code contributions).
Organize and execute one’s own research agenda.
Lead and collaborate on ambitious research projects.
Experience on research collaborations and paper writing in related fields.
Proficient programming skills in Python (PyTorch).
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.
Algorithm coding test (more than one).
Job interviews (more than two).
Algorithm coding test (more than two).
Job interviews (more than one).
Contact: [email protected]