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 Division (Oncology or Cancer Screening AI Research Departments), 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 (9 nationalities!), 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.
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 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 the 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 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 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.
- Contribute to the internal research codebases with high-quality code and development standards.
- Push the organization’s technological advancement and publish the outcomes at top-tier journals and conferences, or other means of public dissemination.
Tools Used
- Programming languages/framework: Python, PyTorch, MLFlow, Ray, Prefect
- Infrastructure: Google Cloud Platform
- General: Git, Docker, Confluence, Jira
Requirements
Qualifications
- 5+ years of research experience in machine learning or deep learning (in academia or industry), preferably focusing on computer vision, medical image analysis, or natural language processing.
- Masters or Doctorate in computer science, biomedical engineering, 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).
- Strong interest to work on medical problems and advance the standard of care using AI.
- Excellent written and verbal communication skills in English.
- Experience in need-finding and designing ML-based software systems and deploying them to production environments.
- 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.
Preferred Experiences
- 7+ years of research experience and 2+ years of industrial research experience. (e.g., PhD + 2 years of industry experience or Masters + 5 years of industry experience)
- Solid experience with Git, Python, unit/integration testing, multithreading, and other software development practices.
- Experience working with image data, in particular medical images.
- First-author publications in top-tier Computer Vision or Medical Imaging conferences or journals (CVPR/ICCV/ECCV, NeurIPS/ICLR/MedIA/T-MI/MICCAI), or top-tier clinical journals. (e.g., Nature Medicine, JAMA, Lancet Digital Health).
- Passion for advancing healthcare and combating cancer through AI research.
- Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment.
- Solid understanding and awareness of recent trends in AI Research. (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning)
- Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas.
- Participation in competitive Computer Vision/Medical Imaging challenges.
- Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models.
How to Apply
- CV (resume, free format, in English)
- ? Hiring Process
Document Screening Introductory Interview Technical Interview Presentation Interview Culture-fit Interview
- Onboarding
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- All interviews are conducted in English.
- After the final interview, we may proceed with reference checks if needed.
- The expected start date is after February 2025.
Work Conditions and Environment
- Work type: Full-time
- Work location : Lunit HQ (5F, 374, Gangnam-daero, Gangnam-gu, Seoul, 06241, Republic of Korea)
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- Alternatively: fully-remote in France, Germany, Netherlands, UK, Ireland
- 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 (for the Seoul office)
- 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.
- Up to 300,000 KRW is covered upon joining to decorate your personal workspace.
- 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.
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- In-house English lessons (aka Luniversal) are also 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.
- Expenses for monthly employees gatherings are partially covered.
