Machine Learning
Job description of AI and ML research of NAVER AI Lab

Machine Learning (@NAVER AI Lab & CLOVA)

  • Main R&R: 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).
Last modified 8mo ago
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