"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.

QUALIFICATIONS

• 5+ years of research experience in machine learning or deep learning (in academia or industry), preferably focusing on computer vision, medical image analysis, or natural language processing.
• Masters or Doctorate in computer science, biomedical engineering, electrical engineering or a related field.
• Solid understanding of and experience with contemporary machine learning and image analysis techniques, and related software packages (e.g., deep neural nets, PyTorch, Tensorflow).
• Strong interest to work on medical problems and advance the standard of care using AI.
• Excellent written and verbal communication skills in English.
• Experience in need-finding and designing ML-based software systems and deploying them to production environments.
• Highly responsible, have an eye for detail and motivated to build high quality and reliable solutions following the current best practices.
• Team player with experience working in interdisciplinary research teams.

PREFERRED EXPERIENCES

• 7+ years of research experience and 2+ years of industrial research experience. (e.g., PhD + 2 years of industry experience or Masters + 5 years of industry experience)
• Solid experience with Git, Python, unit/integration testing, multithreading, and other software development practices.
• Experience working with image data, in particular medical images.
• First-author publications in top-tier Computer Vision or Medical Imaging conferences or journals (CVPR/ICCV/ECCV, NeurIPS/ICLR/MedIA/T-MI/MICCAI), or top-tier clinical journals. (e.g., Nature Medicine, JAMA, Lancet Digital Health).
• Passion for advancing healthcare and combating cancer through AI research.
• Proactive in sharing knowledge, initiating collaborations, and promoting a positive research environment.
• Solid understanding and awareness of recent trends in AI Research. (e.g., LLM, Stable Diffusion, Vision Transformers, Self-supervised Learning)
• Contributions to open-source repositories in Computer Vision, Machine Learning, or related areas.
• Participation in competitive Computer Vision/Medical Imaging challenges.
• Passion for high-quality programming and software engineering to produce and maintain reliable code for the training and evaluation of models.

• Propose, design and implement AI models to advance the suite of Lunit’s products and the state-of-the art of AI in medical image analysis.
• Work closely with Medical Doctors, Product Managers, and Research Engineers to develop novel projects that align well with Lunit’s needs in the present and future.
• Contribute to the internal research codebases with high-quality code and development standards.
• Push the organization’s technological advancement and publish the outcomes at top-tier journals and conferences, or other means of public dissemination.