"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 a day with?
- You will work in the cancer screening research department, with a group of enthusiastic and talented AI researchers 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 we 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 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 validation 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 research projects span a variety of topics, including but not restricted to performance diagnostics, causality, domain generalization, drift detection and model fairness.
- 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
- Develop and implement AI-solutions 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 engineers to develop features that push forward our AI models and methodologies
- Contribute to the statistical analysis of AI models and datasets used to train the models, promote data integrity, derive clinical insights from data and other data related activities
- 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, SKlearn, Statsmodels, Prefect
- Infrastructure: Google Cloud Platform
- General: Git, Docker, Confluence, Jira
Requirements
🎯 Qualifications
- At least 5 years of experience in a discipline related to data science or statistics.
- Solid experience with Git, Python, unit/integration testing, multithreading, etc.
- Solid experience with developing and evaluating machine learning models for real world applications.
- Experience in bringing data products into production(software/data engineering skills).
- Solid experience in working in multidisciplinary teams, communicating and advocating ideas.
- Highly responsible, eye for detail and motivated to build high quality and reliable solutions following the current best practices
🏅 Preferred Experiences
- Experience working with image data, in particular medical images.
- Open to relocate to Lunit HQ in Seoul.
- Experience in deploying and monitoring machine learning systems.
- Expertise in a data-centric area of AI and Machine Learning:
- Causal Inference / PGMs
- Explainable AI
- First-author publications in top-tier conference in Machine Learning, Data Science or related.
- Experience with cloud computing (e.g., GCP, AWS, or Azure).
- Solid understanding and awareness of recent trends in AI Research (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning).
- Contribution to open source software.
- Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment.
- Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models.
- Passion for advancing healthcare and combating cancer through AI research.
📝How to Apply
- CV (resume, free format, in English)
🏃♀️ Hiring Process
- Document Screening → Introductory Interview → Assignment → Competency-based interview → Culture-fit Interview → Onboarding
- All interviews are conducted in English
- 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
🌻 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.
- 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.
- 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.
- Expenses for monthly employees gatherings are partially covered.
