Machine Learning (CLOVA)

Machine Learning (@NAVER CLOVA AI Lab)
Missions
Publication at top AI venues and contribution to NAVER and AI communities through impactful research
Position 
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
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.
Requirements
Research scientist
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.
Preferred
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).
Responsibilities
Organize and execute one’s own research agenda.
Lead and collaborate on ambitious research projects.
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.
Application process 
Research scientist
Algorithm coding test (more than one).
Tech talk.
Job interviews (more than two).
Research intern 
Algorithm coding test (more than two).
Job interviews (more than one).
Contact: [email protected] 

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Machine Learning (@NAVER CLOVA AI Lab)

Missions

Position

Research topics (Including, but not limited to)

Requirements

Application process