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Senior AI Research Scientist

vor 2 Monaten


Frankfurt am Main, Hessen, Deutschland Lunit Vollzeit
About the Role

We are seeking a highly skilled Senior AI Research Scientist to join our team at Lunit, a leading medical AI software company. As a key member of our AI Division, you will play a crucial role in advancing our AI research and development efforts, with a focus on medical image analysis.

Key Responsibilities
  • 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.
  • Publish the outcomes of your research at top-tier journals and conferences, or other means of public dissemination.
Requirements
  • 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.