(Seoul) Research Engineer · AutoML

"Conquering Cancer Through AI" Lunit, a combination of 'Learning unit,' is a medical AI software company devoted to providing AI-powered total cancer care. Our AI solutions aid in the detection of cancer and predicting cancer treatment outcomes, leading to timely and personal cancer treatment. About the team The AutoML team at Lunit focuses on automating AI product development processes. By facilitating manual tasks, our team has a crucial role in efficient and effective product development. Moreover, our team is committed to improving the AutoML algorithm. Join us in our mission to conquer cancer through AI, where your contributions will advance AI product development for cancer patients. About the position In this role, you will drive the evolution of our cloud-based AutoML platform, a critical component responsible for training the majority of AI models at Lunit. You will actively participate in the development of an automated product development framework, which includes various stages such as data ingestion, model training, and model selection. Roles & Responsibilities Develop a cloud-based AutoML platform that allows efficient deep-learning research. Develop an automated product development framework that enables scalable model development. Improve the maintenance, reliability, and efficiency of both new and existing frameworks. Create high-quality software by refactoring existing frameworks or adopting new technologies and libraries. Establish AutoML algorithms and use them to optimize the performance of internal products. Tools Used Development Related: Django, Django REST Framework, React, Next.js, MySQL, PostgreSQL, Redis, Celery, Nginx ML framework: PyTorch, Optuna Infrastructure: Google Cloud Platform, Kubernetes, Git, Docker General: Slack, Confluence, Jira Requirements Qualifications A minimum of 2 years of professional experience in the IT industry. Experience in machine learning engineering or research engineering in the AI industry. Proficiency in Python, unit/integration testing, documentation, Git, collaborative code development, and Docker. Bachelor's (B.Sc.), Master's (M.Sc.), or Ph.D. degree in computer science or a related field. Strong communication skills, with the ability to write technical reports in English. Demonstrate a strong commitment to taking ownership and being accountable for individual projects. Preferred Experiences Familiarity with Django REST Framework. Experience with React. Previous engagement in platform development and operations. Knowledge of cloud computing services. How to Apply CV (resume, free format) Hiring Process Document Screening → Technical Interview → Assignment → Competency-based Interview(Presentation) → 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 dedicated to providing preferential treatment to those eligible for employment protection (national merits and people with disabilities) under related laws and regulations. Benefits Benefits & Perks The new office is conveniently located one minute away by foot from Gangnam Station Exit 3 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 embellish your personal workspace The latest computer models, such as Macs and 4K monitors, are provided and renewed every three years 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 participation in employee gatherings (once a month) Seminar attendance and book purchases are covered Regular in-house AI and medical seminars are conducted Korean/English language education is provided for Lunitians who do not speak Korean/English as their first language Access to high-quality AI learning resources & deep learning DevOps system.