"Conquering cancer through AI"This position is open for candidates who reside in Korea and have a Korean proficiency appropriate for working in a Korean business. 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 TeamWho will I spend 8+ hours/day with?You will work in the AI research department of the cancer screening group, with a group of enthusiastic and talented AI research scientists and engineers. We contribute to real-world products, while also solving meaningful and applied research projects.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. In the end, we are all proud of contributing to improving the lives of cancer patients.What is the team culture like?Our team fosters a friendly and open environment, encouraging idea sharing and collaboration in research, engineering, and team events. 🗨️ About the PositionWhat 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 or early diagnosis of cancer. Our software has been recognized as best-in-class worldwide and is being used in real-world hospitals, laboratories, and research studies.Your work will push forward our AI research frameworks, inference engines, and performance of Lunit’s AI models. 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 foundation models, language models, large scale self-supervised learning, domain generalization, agentic AI, ML pipelines, risk prediction, and image quality assessment 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 & ResponsibilitiesLead the research on AI models to advance the suite of Lunit’s products and the state-of-the-art of AI in medical image analysis. Work closely with medical doctors, product managers, and research engineers to develop novel projects that align well with Lunit's needs in the present and future. Push the organization’s technological advancement and translate technology into clinical practice.Design and contribute hands-on across the full research lifecycle including data cleaning, pipeline management, and codebase structuring while providing technical guidance to junior members.🚩 Tech stackProgramming languages/framework: Python, PyTorch, MLflow, Prefect, LangchainInfrastructure: Google Cloud PlatformTools: Git, Docker, Confluence, Jira, CursorRequirements🎯 Qualifications5+ years of research experience in machine learning (in academia or industry), preferably focusing on computer vision, medical image analysis, or natural language processing.Master's or doctorate in computer science, biomedical engineering, physics, mathematics, electrical engineering or a related field.Solid understanding of and experience with contemporary machine learning and image analysis techniques, and related software packages (e.g., deep neural nets, PyTorch, TensorFlow).Experience in need-finding and designing ML-based software systems and deploying them to production environments.Ability to communicate in Korean.Strong interest to work on medical problems and advance the standard of care using AI.Quick learner with strong analytical thinking and problem-solving abilities.Highly responsible, have an eye for detail and motivated to build high quality and reliable solutions following the current best practices.Team player with experience working in interdisciplinary research teams.Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment.🏅 Preferred Experiences7+ years of research experience and 2+ years of industrial research experience (e.g., Ph.D. + 2 years of industry experience or Master's + 5 years of industry experience).Solid experience with Git, Python, unit/integration testing, multithreading, and other software development practices such as agentic AI.Experience working with medical image data.Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas.Solid understanding of recent trends in AI Research (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning)First-author publications in top-tier Computer Vision or Medical Imaging conferences or journals (CVPR/ICCV/ECCV, NeurIPS/ICLR/MedIA/TMI/MICCAI), or top-tier translational journals (e.g., Nature Medicine, JAMA, Lancet Digital Health).Participation in Computer Vision/Medical Imaging challenges.📝How to ApplyCV (English, free format)Other relevant material (Optional)🏃♀️ Hiring ProcessDocument Screening → Introductory Interview → Technical Interview → Presentation interview→ Culture-fit Interview → OnboardingAfter the final interview, we may proceed with reference checks if needed🤝 Work Conditions and EnvironmentWork Type: Full-Time(3-month probation)Work Location : Lunit HQ (5F, 374, Gangnam-daero, Gangnam-gu, Seoul, 06241, Republic of Korea)Salary: After Negotiation🎸 ETCIf 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 & PerksThe 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.
"Conquering cancer through AI"
This position is open for candidates who reside in Korea and have a Korean proficiency appropriate for working in a Korean business.
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 the AI research department of the cancer screening group, with a group of enthusiastic and talented AI research scientists and engineers. We contribute to real-world products, while also solving meaningful and applied research projects.
- 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. In the end, we are all proud of contributing to improving the lives of cancer patients.
What is the team culture like?
- Our team fosters a friendly and open environment, encouraging idea sharing and collaboration in research, engineering, and team events.
🗨️ 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 or early diagnosis of cancer. Our software has been recognized as best-in-class worldwide and is being used in real-world hospitals, laboratories, and research studies.
- Your work will push forward our AI research frameworks, inference engines, and performance of Lunit’s AI models. 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 foundation models, language models, large scale self-supervised learning, domain generalization, agentic AI, ML pipelines, risk prediction, and image quality assessment 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
- Lead the research on AI models to advance the suite of Lunit’s products and the state-of-the-art of AI in medical image analysis.
- Work closely with medical doctors, product managers, and research engineers to develop novel projects that align well with Lunit's needs in the present and future.
- Push the organization’s technological advancement and translate technology into clinical practice.
- Design and contribute hands-on across the full research lifecycle including data cleaning, pipeline management, and codebase structuring while providing technical guidance to junior members.
🚩 Tech stack
- Programming languages/framework: Python, PyTorch, MLflow, Prefect, Langchain
- Infrastructure: Google Cloud Platform
- Tools: Git, Docker, Confluence, Jira, Cursor
Requirements
🎯 Qualifications
- 5+ years of research experience in machine learning (in academia or industry), preferably focusing on computer vision, medical image analysis, or natural language processing.
- Master's or doctorate in computer science, biomedical engineering, physics, mathematics, electrical engineering or a related field.
- Solid understanding of and experience with contemporary machine learning and image analysis techniques, and related software packages (e.g., deep neural nets, PyTorch, TensorFlow).
- Experience in need-finding and designing ML-based software systems and deploying them to production environments.
- Ability to communicate in Korean.
- Strong interest to work on medical problems and advance the standard of care using AI.
- Quick learner with strong analytical thinking and problem-solving abilities.
- Highly responsible, have an eye for detail and motivated to build high quality and reliable solutions following the current best practices.
- Team player with experience working in interdisciplinary research teams.
- Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment.
🏅 Preferred Experiences
- 7+ years of research experience and 2+ years of industrial research experience (e.g., Ph.D. + 2 years of industry experience or Master's + 5 years of industry experience).
- Solid experience with Git, Python, unit/integration testing, multithreading, and other software development practices such as agentic AI.
- Experience working with medical image data.
- Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas.
- Solid understanding of recent trends in AI Research (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning)
- First-author publications in top-tier Computer Vision or Medical Imaging conferences or journals (CVPR/ICCV/ECCV, NeurIPS/ICLR/MedIA/TMI/MICCAI), or top-tier translational journals (e.g., Nature Medicine, JAMA, Lancet Digital Health).
- Participation in 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(3-month probation)
- 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.
"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.
"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.
