"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.