Lunit, a portmanteau of ‘Learning unit,’ is a medical AI software company devoted to providing AI-powered total cancer care. Our AI solutions help discover cancer and predict cancer treatment outcomes, achieving timely and individually-tailored cancer treatment. 🗨️ About the Team Who will I spend 8+ hours/day with? You will work in Oncology AI Research Department, with a group of enthusiastic and talented AI research scientists and engineers. We build products that matter, while tackling meaningful applied research problems along the way. The teams and members of the department have diverse cultural backgrounds, experience, and interests. Some of us are passionate about engineering, others about model-centric AI, and some others about data-centric AI. But we are all united by a shared commitment to improving the lives of cancer patients. How do they bond as a team? Our team fosters a friendly and open environment, encouraging idea sharing and collaboration in research, engineering, and team events. Activities include research seminars, research workshops, attending top-tier conferences, and team meals. 🗨️ About the Position What will make me proud to work here? You will have a direct impact on our mission to Conquer Cancer Through AI by contributing to more personalized treatment planning for cancer patients. Our software has been recognized as best-in-class worldwide and is being used in real-world hospitals, top-tier pharmaceutical companies, laboratories, and research studies. Your work will push forward the performance of Lunit’s AI models, AI research frameworks, and AI inference engines. Lunit has best-in-class products thanks to these components. We have access to very large in-house labeled and unlabeled datasets. And, the cloud computing power to leverage them. Current projects span a variety of topics, including but not restricted to object detection, semantic segmentation, large scale self-supervised learning, domain generalization, active learning, multi-task learning, ML pipelines, among others. We contribute back to the community through publications, blog posts, dataset releases, and the organization of public events such as machine learning challenges or tutorials. Experience personal and professional growth by working on diverse projects and collaborating with talented multi-disciplinary teams 🚩 Roles & Responsibilities Propose, design, and implement AI models that address real-world challenges in Lunit's Oncology products and advance the state-of-the-art in computational pathology. Collaborate with pharmaceutical and clinical partners to translate AI research into clinically meaningful biomarker solutions. Work closely with Research Engineers, Medical Doctors, Product Managers, and Product Engineers to deliver best-in-class CPATH products. Contribute to internal research codebases with high-quality code and rigorous development standards. Mentor junior researchers and actively contribute to the team's technical growth. Push the organization’s technological advancement and publish the outcomes at top-tier journals and conferences, or other means of public dissemination. Requirements 🎯 Qualifications Master's or Doctoral degree in Computer Science, Biomedical Engineering, Signal Processing, or a related field. 5+ years of research experience in machine learning or deep learning (Master's + 4 years or PhD + 1 year), with a preference for computer vision, medical image analysis, or natural language processing. Strong working knowledge of contemporary machine learning and image analysis techniques, and relevant software frameworks and libraries (e.g., Transformers, ConvNets, OpenCV, PyTorch). Proven ability to identify high-impact research problems and translate them into deployable ML solutions. Strong motivation to work on medically impactful problems and contribute to advancing the standard of care through AI. Capable of handling day-to-day business communication in English (written or verbal). Highly responsible, with an eye for detail and motivated to build high-quality and reliable solutions following the current best practices. Collaborative team player with experience in interdisciplinary research environments. 🏅 Preferred Experiences 7+ years of research experience, including 2+ years in an industrial research setting (e.g., PhD + 2 years industry or Master's + 5 years industry). Solid experience with Git, Python, large-scale data processing, AI/LLM-augmented research, and other software development practices. Hands-on experience working with image data, particularly medical or histopathology images. First-author publications at top-tier Computer Vision or Medical Imaging venues (CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, MedIA, TMI, MICCAI) or leading clinical journals (e.g., Nature Medicine, JAMA, Lancet Digital Health). Proactive in knowledge sharing, cross-functional collaboration, and fostering a positive research culture. Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models. Up-to-date awareness of emerging trends and recent advances in AI research. Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas. Participation in competitive Computer Vision/Medical Imaging challenges. 📝How to Apply CV (English, free format) Other relevant material (Optional) 🏃‍♀️ Hiring Process Document Screening → Introductory Interview → Technical Interview → Presentation interview→ Culture-fit Interview → Onboarding After the final interview, we may proceed with reference checks if needed 🤝 Work Conditions and Environment Work Type: Full-Time Work Location : Lunit HQ (5F, 374, Gangnam-daero, Gangnam-gu, Seoul, 06241, Republic of Korea) Salary: After Negotiation 🎸 ETC If you misrepresent your experience or education or provide false or fraudulent information in or with your application, it may be grounds for cancellation of the employment. Lunit is committed in providing the preferential processing to those eligible for employment protection (national merits and people with disabilities) relevant to related laws and regulations. Benefits 🌻Benefits & Perks The office is at a very convenient location, just a minute away from Gangnam Station Exit 3. Meal Allowance is provided (up to 12,000 KRW per meal) when working at the office. Latest computer models, such as Macs and 4K monitors are provided and can be renewed every three years. Seminar registration fees and book purchases are covered. Regular in-house AI and medical seminars are held. In-house English lessons (aka Luniversal) is provided for English development. Access to high-quality AI learning resources & deep learning DevOps system. Up to 1.2 million KRW worth of benefits points can be claimed annually. Holiday Allowances are provided in the form of gifts or vouchers for Korean National holidays, Seollal and Chuseok. Congratulatory and Condolence allowances, along with paid time off are provided. Annual medical checkups and employee accident insurance are provided.