(Seoul) Senior Research Engineer · AutoML

"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

• AutoML team at Lunit automates AI product development processes to streamline time-consuming tasks and advance cutting-edge AutoML research. By combining engineering expertise with state-of-the-art deep learning techniques, our team plays an important role in accelerating product development for cancer detection and treatment. Join us in our mission to Conquer Cancer Through AI where your contributions will directly influence AI innovations that improve patient outcomes worldwide.
• In short, we’re a team that maximizes AI tech to *create AI models* with extreme efficiency.
  

🗨️ About the Position

• As the Senior Research Engineer in AutoML Team, you will drive the development of an automated AI product development framework that spans data ingestion, model training, hyperparameter optimization and inference
• You will guide both the engineering and research directions for a cloud-based AutoML platform that allows efficient deep learning research
• You will pioneer the use of AI agents to fully automate research workflows—integrating cutting-edge algorithms and internal tools to transform how new models and features are developed
• This role requires close collaboration with both research and engineering teams to deliver robust and high-performance AI solutions that make a real-world impact

🚩 Roles & Responsibilities

• Lead the development of an automated AI product development framework, covering data ingestion, training, packaging and inference
• Bridge research and engineering by integrating state-of-the-art deep learning techniques into production systems.
• Enhance the cloud-based AutoML platform to support efficient deep learning research and scalable model development
• Implement AI agents to automate research workflows using internal tools and services
• Guide and mentor team members, fostering a collaborative and high-performing research-engineering culture
  

🚩 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

🎯 Qualifications

• 5+ years of experience in deep learning research and software engineering
• Master’s or Ph.D. degree with an ML-related topic
• Strong background in deep learning with experience in computer vision, natural language processing or AutoML
• Hands-on experience with cloud platforms, Kubernetes, and scalable AI infrastructure
• Strong leadership and communication skills to collaborate across research and engineering teams
• Proven ability to take ownership and drive projects from concept to deployment

🏅 Preferred Experiences

• Publications in top-tier CV/ML conferences, awards in CV/ML competitions, or active participation in the research community
• Familiarity with web development including both backend and frontend
• Hands-on experience in platform development, operations, or DevOps
• Knowledge of cloud computing services (GCP, AWS, or Azure)

📝How to Apply

• CV (resume, free format)

🏃‍♀️ Hiring Process

• Document Screening → Technical Interview(Teams) → Assignment → PT Interview → Culture-fit Interview → Onboarding
• 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.