"Conquering cancer through AI"
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?
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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.
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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?
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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?
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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.
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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.
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We have access to very large in-house labeled and unlabeled datasets. And, the cloud computing power to leverage them.
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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.
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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.
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Experience personal and professional growth by working on diverse projects and collaborating with talented multi-disciplinary teams
Roles & Responsibilities
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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.
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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.
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Contribute to internal research codebases with high-quality code and rigorous development standards.
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Mentor junior researchers and actively contribute to the team's technical growth.
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Push the organization’s technological advancement and publish the outcomes at top-tier journals and conferences, or other means of public dissemination.
Requirements
Qualifications
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Master's or Doctoral degree in Computer Science, Biomedical Engineering, Signal Processing, or a related field.
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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.
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Strong working knowledge of contemporary machine learning and image analysis techniques, and relevant software frameworks and libraries (e.g., Transformers, ConvNets, OpenCV, PyTorch).
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Proven ability to identify high-impact research problems and translate them into deployable ML solutions.
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Strong motivation to work on medically impactful problems and contribute to advancing the standard of care through AI.
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Capable of handling day-to-day business communication in English (written or verbal).
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Highly responsible, with an eye for detail and motivated to build high-quality and reliable solutions following the current best practices.
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Collaborative team player with experience in interdisciplinary research environments.
Preferred Experiences
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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).
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Solid experience with Git, Python, large-scale data processing, AI/LLM-augmented research, and other software development practices.
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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).
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Proactive in knowledge sharing, cross-functional collaboration, and fostering a positive research culture.
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Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models.
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Up-to-date awareness of emerging trends and recent advances in AI research.
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Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas.
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Participation in competitive Computer Vision/Medical Imaging challenges.
How to Apply
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CV (English, free format)
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Other relevant material (Optional)
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Document Screening Introductory Interview Technical Interview Presentation interview Culture-fit Interview Onboarding
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After the final interview, we may proceed with reference checks if needed
Work Conditions and Environment
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Work Type: Full-Time(3-month probation)
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Work Location : Lunit HQ (5F, 374, Gangnam-daero, Gangnam-gu, Seoul, 06241, Republic of Korea)
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Salary: After Negotiation
ETC
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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.
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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
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The office is at a very convenient location, just a minute away from Gangnam Station Exit 3.
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Meal Allowance is provided (up to 12,000 KRW per meal) when working at the office.
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Latest computer models, such as Macs and 4K monitors are provided and can be renewed every three years.
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Seminar registration fees and book purchases are covered.
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Regular in-house AI and medical seminars are held.
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In-house English lessons (aka Luniversal) is provided for English development.
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Access to high-quality AI learning resources & deep learning DevOps system.
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Up to 1.2 million KRW worth of benefits points can be claimed annually.
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Holiday Allowances are provided in the form of gifts or vouchers for Korean National holidays, Seollal and Chuseok.
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Congratulatory and Condolence allowances, along with paid time off are provided.
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Annual medical checkups and employee accident insurance are provided.
