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We're hiring:
Research Scientist


Lunit develops cutting-edge medical image analysis methods and applies them in the field, improving the workflow of medical professionals as well as increasing their chance of saving human lives through the power of advanced computer vision algorithms and the development of unique computational diagnostics and biomarkers. Being the best in medical AI is not an easy task, and one must consider the full scope of the factors involved such as data, model, or application related requirements.

Hence, research at Lunit is an exhilarating experience, often involving an intricate orchestration of large-scale data analysis and management, novel AI model development, and basic research in machine learning, computer vision, and their applications. Lunit is looking to hire self-motivated individuals who are not afraid of tackling the full suite of challenges that come from handling terabytes of high resolution medical images, proposing and battle-testing state-of-the-art neural network architectures, as well as in sharing exciting scientific findings to the research community and beyond.

All of this is facilitated by the various departments at Lunit, such as - to name a few - those involved in partnerships for acquiring data, medical staff dedicated to dataset curation and validation of AI model outputs, and engineers and designers who incorporate the developed AI models into the final products. Join Lunit to become a part of this unique opportunity where every 1% of performance improvement is converted into saved lives by affecting real change.

Roles & Responsibilities:

  • Research and develop deep learning models for diagnostic AI and new medical discoveries
  • Perform challenging and creative research in a flexible, positive environment
  • Address model-related issues that arise during the product development process
  • Stay up-to-date with the latest research trends in machine learning and data-driven medicine
  • Contribute to academia by publishing excellent research papers
  • Solid expertise and profound understanding in visual recognition methods based on deep learning
  • Creative thinker with excellent problem solving skills
  • Outstanding programming abilities
  • Positive attitude on data management, understanding the importance of data in deep learning
  • Strong motivation for new medical discoveries
Preferred Experiences
  • Academic achievements (top-tier conference/journal papers or competition awards) in Medical Imaging / Computer Vision / Machine Learning and related analytical fields of research
    • Alternatively, we value contributions to relevant open-source code repositories
  • Ability to write clean, consistent and well-documented code
  • Experiences in collecting and processing large-scale real-world data
  • Experiences in the AI industry
  • 3+ years of experience in CV/ML research

In this position, you’ll have the opportunity to:

  • Contribute to academia with the publication of ground-breaking research results
  • Attend an AI conference once a year (CVPR/ICCV/ECCV/NeurIPS/ICML/ICLR/MICCAI)
  • Conduct research in the best possible environment (Rich data and top-notch equipment)
How to apply
  • Send your application to
  • Application documents: resumé (free format)
  • Order of interviews: document screening, introductory interview, technical interview #1, technical interview #2, executive-level interview