Research Engineer · Lunit SCOPE

Seoul (On-site) • Full time

No longer accepting applications

🗨️ About the team

Who will I spend 8+ hours/day with?

You will work in the Oncology AI Research department, with a group of enthusiastic and talented AI Researchers and Engineers. We contribute to real-world Oncology products, while also solving meaningful and applied research projects.
The teams and members of the department have diverse cultural backgrounds(5 nationalities!), experience, and interests. Within a spectrum of interests, some of us are more 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 Bug Hunting Day, Weekly Research Seminars, 1:1 Random Donut Time, and Quarterly 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 allows Medical Doctors to identify which treatment is better suited for each patient. And, it is being used in real-world laboratories and research studies
Your work will push forward our AI research frameworks, inference engines, and performance of the Oncology AI models. Lunit has best-in-class products thanks to these components
We have access to very large in-house labeled and unlabeled histopathology 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
Experience personal and professional growth by working on diverse projects and collaborating with talented multi-disciplinary teams

🚩 Roles & Responsibilities

Develop, and implement high-quality medical AI research frameworks and products for advancing healthcare
Contribute to large-scale and distributed inference engines for digital pathology applications
Enhance the maintainability, reliability, and efficiency of both new and existing AI software for digital pathology
Advocate for and uphold high standards in code quality, and software architecture, including the refactoring of research frameworks
Create innovative medical AI models by implementing or proposing cutting-edge methodologies and contributing to impactful research projects
Collaborate closely with Research Scientists, Engineers, and Medical Doctors on diverse real-world AI projects for Oncology

🎯 Qualifications

3 years or more of professional experience in machine learning, research, or software development in the AI industry
Solid experience with Python, unit/integration testing, documentation, Git, collaborative code development, and Docker
Familiarity with machine learning frameworks and platforms (e.g., PyTorch, Tensorflow, MLFlow)
Experience in bringing machine learning-based software to production
BS, MS, or Ph.D. degree in computer science or a related field
Keen eye and attention to detail
Team player with experience working in teams with 3+ members
Passion for machine learning engineering, research, and software engineering’s best practices

🏅 Preferred Experiences

Experience with parallel, distributed, and cloud computing (e.g., GCP, AWS, or Azure)
Ability to communicate and write technical reports in English
Experience with large (bio)medical imaging or histopathology data
Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas
Participation in competitive Computer Vision/Medical Imaging challenges
Stimulate and push various initiatives within a team, e.g., code refactoring, dissemination of knowledge, culture-related events, etc
Strong desire to have an impact in healthcare and conquering cancer through AI

Document Screening → Introductory Interview → Assignment → Technical Interview → Culture-fit Interview → Onboarding
- Technical interview Includes two parts:
  - A short presentation describing the assignment
  - Technical Interview
- All interviews are conducted in English

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 & Perk

The new office is one minute away by foot from Gangnam Station Exit 3 making it very convenient
Up to 12, 000 won is covered for both lunch and dinner when working at the office
Up to 300,000 won is covered upon joining to decorate your personal workspace
Provide the latest computer models, such as Macs and 4K monitors, and renew them every three years
Attending seminars and purchasing books are covered
Regular in-house AI and medical seminars are held
Korean language education is provided for Lunitians who do not speak Korean as their first language
Access high-quality AI learning resources & deep learning DevOps system
Up to 1.2 million won worth of benefits points can be claimed annually
Korean National holiday gift: Seollal and Chuseok gift/voucher
Annual medical checkups and employee accident insurance are provided
Financial support for employees gathering once a month is provided