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"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 Who will I spend 8+ hours/day with? You will work in Oncology AI Research Department, with a group of enthusiastic and talented AI research scientists and engineers. We build products that matter, while tackling meaningful applied research problems along the way. The teams and members of the department have diverse cultural backgrounds, experience, and interests. Some of us are passionate about engineering, others about model-centric AI, and some others about data-centric AI. But we are all united by a shared commitment 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 research seminars, research workshops, attending top-tier conferences, and 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 has been recognized as best-in-class worldwide and is being used in real-world hospitals, top-tier pharmaceutical companies, laboratories, and research studies. Your work will push forward the performance of Lunit’s AI models, AI research frameworks, and AI inference engines. Lunit has best-in-class products thanks to these components. We have access to very large in-house labeled and unlabeled 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 or tutorials. Experience personal and professional growth by working on diverse projects and collaborating with talented multi-disciplinary teams 🚩 Roles & Responsibilities Propose, design, and implement AI models that address real-world challenges in Lunit's Oncology products and advance the state-of-the-art in computational pathology. Collaborate with pharmaceutical and clinical partners to translate AI research into clinically meaningful biomarker solutions. Work closely with Research Engineers, Medical Doctors, Product Managers, and Product Engineers to deliver best-in-class CPATH products. Contribute to internal research codebases with high-quality code and rigorous development standards. Mentor junior researchers and actively contribute to the team's technical growth. Push the organization’s technological advancement and publish the outcomes at top-tier journals and conferences, or other means of public dissemination. Requirements 🎯 Qualifications Master's or Doctoral degree in Computer Science, Biomedical Engineering, Signal Processing, or a related field. 5+ years of research experience in machine learning or deep learning (Master's + 4 years or PhD + 1 year), with a preference for computer vision, medical image analysis, or natural language processing. Strong working knowledge of contemporary machine learning and image analysis techniques, and relevant software frameworks and libraries (e.g., Transformers, ConvNets, OpenCV, PyTorch). Proven ability to identify high-impact research problems and translate them into deployable ML solutions. Strong motivation to work on medically impactful problems and contribute to advancing the standard of