(Global) Research Engineer· Lunit INSIGHT

"Conquering Cancer through AI" Lunit, which is a portmanteau of ‘Learning unit,’ is a medical AI software company committed to delivering AI-driven comprehensive cancer care. Our AI solutions aid in the detection of cancer and predicting the outcomes of cancer treatment, thus facilitating prompt and personalised cancer therapy. 🗨️ About the team Who will I collaborate with daily? - You'll be part of the cancer screening unit in the AI research department, working alongside a team of passionate and talented AI researchers and engineers. We contribute to real-world products while also conducting meaningful and practical research projects. - The division's teams and members have diverse cultural backgrounds (5 nationalities!), experiences, and interests. - We thrive in an open and unrestrictive culture. While many of us are social and enjoy conversation, there's no pressure to partake and everyone is free to opt out if they wish. How does the team bond? - Our team nurtures a warm and open environment, encouraging the exchange of ideas and cooperation in research, engineering, and team events. 🗨️ About the position What will make me proud to work here? - You'll have the opportunity to directly impact our mission to conquer cancer through AI by contributing to software used in real-life hospitals worldwide. - Your work will enhance our AI research frameworks, inference engines, and the performance of our AI models. These components are what make Lunit's products top-tier. - We possess access to an extensive in-house database of labeled and unlabeled datasets and cloud computing power to leverage them. - Current projects cover a broad range of topics, including but not limited to object detection, semantic segmentation, large-scale self-supervised learning, domain generalization, and many more. - We give back to the community through publications, blog posts, dataset releases, and organizing public events like machine learning challenges. - Experience personal and professional growth by working on diverse projects and cooperating with skilled multidisciplinary teams. Roles and Responsibilities - Develop and implement high-quality medical AI research frameworks, ML pipelines, and healthcare-advancing products. - Contribute to large-scale and distributed inference engines. - Enhance the maintainability, reliability, and efficiency of both current and future AI software for use in various cancer screening applications. - Produce high-quality software by adopting new technologies and libraries or refactoring existing research frameworks. - Create innovative medical AI models by proposing or implementing leading-edge methodologies and contributing to research projects. - Collaborate closely with research scientists, engineers, and medical doctors on various real-world AI projects. Tools Used - Programming languages/framework: Python, PyTorch, MLFlow, Ray, Prefect - Infrastructure: Google Cloud Platform - General: Git, Docker, Confluence, Jira Requirements Qualifications - 2+ years of professional IT industry experience. - Experience in machine learning engineering or AI industry research engineering. - Experience with Python, unit/integration testing, documentation, Git, MLOps, Docker, and collaborative code development. - Familiarity with machine learning frameworks and platforms(e.g., PyTorch, Tensorflow, MLFlow). - Experience in bringing machine learning-based software to production. - B.Sc., M.Sc., or Ph.D. degree in computer science or a related field. - Attention to detail and a high level of accuracy. - Team player with experience working in teams with 3+ members. - Passion for machine learning engineering, research, and software engineering best practices. Preferred Experiences - Experience with parallel, distributed, and cloud computing (e.g., GCP, AWS, or Azure). - Experience with frameworks like TensorRT and openVINO. - Ability to communicate and write technical reports in English. - Contributions to open-source repositories in computer vision and machine learning. - A strong desire to make an impact in healthcare and conquer cancer through AI. How to Apply - Submit your CV (in English, free format). Hiring Process - Document Screening → Introductory Interview → Assignment → Competency-based interview → Culture-fit Interview → Onboarding - Competency interview includes: - A short presentation describing the assignment - Technical Interview. - All interviews will be conducted in English. - After the final interview, we may proceed with reference checks if needed. Work Conditions and Environment - Full-time employment. - Work location: Lunit HQ (5F, 374, Gangnam-daero, Gangnam-gu, Seoul). - Salary is negotiated post-interview. ETC - Misrepresentation of experience or education, or providing false or fraudulent information on applications can be grounds for employment termination. - Lunit is ensuring preferential processing for those eligible for employment protection (national merits and people with disabilities) under relevant laws and regulations. Benefits - Conveniently located one-minute walk from Gangnam Station Exit 3. - Up to 12,000 won coverage for both lunch and dinner when working in the office. - Up to 300,000 won covered upon joining to decorate your personal workspace. - Latest computer models such as Macs and 4K monitors are provided and renewed every three years. - Costs to attend seminars and purchase books are covered. - Regular in-house AI and medical seminars. - Korean language education for employees who don't speak Korean as a first language. - Access to top-quality AI learning resources and a deep learning DevOps system. - Up to 1.2 million won worth of benefits that can be claimed annually. - Korean National holiday gifts for Seollal and Chuseok. - Annual medical checkups.