Conquer Cancer through AI! 우리는 AI 기술로 암을 정복합니다. 2013년에 설립된 루닛은 인류의 난제인 '암' 정복을 이뤄가고 있는 1세대 의료 AI 기업입니다. 인류의 사망 원인 1위인 암은 인간이 온전히 파악하기 어려운 매우 복잡한 질병입니다. 특히 암은 1기와 4기간의 생존율 차이가 매우 큰 질병입니다. 그렇기 때문에 암을 조기 발견하고, 환자 개개인의 면역 작용과 암의 진행 양상 등 여러 요소에 맞는 최적의 치료를 찾는 것이 관건이나 그러지 못해 어려움을 겪고 있습니다. 그래서 우리는 AI를 통해 암을 정복하고자 복잡한 데이터의 실마리를 풀어가고 있습니다. AI를 활용해 암을 조기에 발견하고, 환자별로 암의 특성을 파악해 최적의 맞춤 치료를 받을 수 있다면 어떨까요? 환자로서 겪을 정신적, 신체적 고통은 물론 재정적 부담을 최소화할 수 있을 것 입니다. 그 뿐인가요. 곁에 있는 가족들이 함께 감당해야 할 몫도 최소화 할 수 있습니다. 이런 생각이 연구로 이어지고 기술이 되어 지금에 이른 우리는 확신합니다. AI는 다가올 수밖에 없는 의료의 미래이며, 루닛은 의료 AI 선구자로 모든 암 영역에서 글로벌 표준이 될 것입니다. 이미 세계는 우리의 진정성과 기술력을 인정했고, 최근에는 다보스 포럼에 초대받아 글로벌 헬스케어의 미래를 제시했습니다. 의료 분야에 대해 잘 알지 못했던 공동 창업자 6명이 ‘하면 된다, 배울 수 없는 것은 없다.'는 마인드로 시작했던 루닛이 이제는 글로벌 의료 AI 시장을 선두하고 있는 것처럼, 시작은 물음표여도 좋습니다. 우리와 함께 암을 정복하고 그 위에 마침표를 찍을 Next Lunitian을 찾습니다. ＞＞루닛의 기술 블로그

https://medium.com/lunit

[💭 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.

• 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.

• 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) • 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 & 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. • Korean lessons are provided for Lunitians who do not speak Korean as their first language. • 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.