(Seoul) Research Engineer Intern · Lunit SCOPE

"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

• Lunit's AI Research, Oncology dept. consists of three teams, each a global team comprised of researchers from various countries and backgrounds. Due to this characteristic, most oral communication and document writing are done in English. We enjoy constructive discussions, and once a week, we have a seminar on the latest research trends, so we have time to learn by sharing the latest information and opinions about it in academia. We have a horizontal culture where we can freely express our opinions and communicate anytime, anywhere, and comfortably ask for help when difficulties arise.

🗨️ About the Position

• This internship aims to strengthen Lunit’s internal product, leading to the solving of real-world problems that help people survive cancer.
• The intern will work closely with Research Engineers on Lunit’s internal AI framework. They will collaborate with numerous open-source AI frameworks and state-of-the-art models. The intern will gain exposure to deep learning models and domain knowledge in the medical industry.

🚩 Roles & Responsibilities

• Study, assess, and benchmark state-of-the-art AI models and open-source frameworks/libraries.
• Integrate these AI models and frameworks into Lunit’s products.
• Research important issues in Computer Vision, specifically, but not limited to, semantic segmentation.

🎯Minimum Qualifications

• Capable of written and verbal communication in English.
• Currently enrolled or expected to graduate from computer science, electrical engineering, artificial intelligence, biomedical engineering, or related field.
• Available to work at Lunit’s HQ office(Seoul) for 5 to 6 months.
• Experience with Python and PyTorch
• Experience in model development in the computer vision domain
• Experience using collaboration tools (eg. github)
• Strong desire to learn new things and grow
• Someone who is proactive and self-driven
• Meticulous, attentive to detail, and responsible

🎯Preferred Qualifications

• Experience with semantic segmentation and/or object detection
• Interest in applying AI to medicine and healthcare
• Ability to read, reuse, and implement models and algorithms from the literature.
• Anyone with research experience in deep learning applied to real-world applications
• Experience contributing to open source projects

📝 How to Apply

• CV (resume, free format, in English)

🏃‍♀️ Hiring Process

• Document Screening → 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: Internship (6month contract)
• 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 & 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.
• Purchasing books is 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.
• Holiday Allowances are provided in the form of gifts or vouchers for Korean National holidays, Seollal and Chuseok.
• Support for condolence items along with paid time off are provided.
• Expenses for monthly employees gatherings are partially covered.