Research Engineer · Lunit SCOPE

Seoul (On-site) • Full time

  • KOREAN: NOT REQUIRED
  • Python
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🗨️ 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

🚩 Tools Used

  • Programming languages/framework: Python, PyTorch, MLFlow, Ray
  • Infrastructure: Google Cloud Platform, Git, Docker
  • General: Slack, Confluence, Jira

Requirements

🎯 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

📝How to Apply

  • CV (resume, free format, in English)

🏃‍♀️ Hiring Process

  • 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

🤝 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 & 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