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(Global) Ai Research Intern

vor 7 Monaten

Frankfurt am Main, Deutschland Lunit Vollzeit

**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**
- You will work in the AI Division (Oncology or Cancer Screening AI Research Departments), with a group of enthusiastic and talented AI research scientists and engineers. We contribute to real-world products, while also solving meaningful and applied research projects.
- The teams and members of the department have diverse cultural backgrounds, experiences, and interests. Some of us are passionate about engineering, others about model-centric AI, and some others about data-centric AI. In the end, we are all proud of contributing to improving the lives of cancer patients.
- 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, and attending top-tier conferences.

**️ About the position**
- You will have a direct impact on our mission to Conquer Cancer Through AI by contributing to more personalized treatment planning for cancer patients or early diagnosis of cancer. Our software has been recognized as best-in-class worldwide and is being used in real-world hospitals, laboratories, and research studies.
- Your work will push forward our AI research frameworks, inference engines, and performance of Lunit’s AI models. 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

**️ Tech Stack**
- Programming languages/framework: Python, PyTorch, MLFlow, Ray, Prefect
- Infrastructure: Google Cloud Platform
- Tools: Git, Docker, Confluence, Jira

**Roles & Responsibilities**
- Assist in the Development of AI Models
- Work under the guidance of our experienced research team to contribute to the creation and refinement of AI models that are at the forefront of medical image analysis. The work will directly impact the quality and effectiveness of Lunit’s products.
- Contribute to Research Codebases
- Contribute to the internal research codebases with high-quality code and development standards
- Advance Technological Research
- Participate in the research efforts to design and implement new AI models to advance the field of AI and medical image analysis. You will have the opportunity to contribute to the publication of research findings in top-tier journals and conferences, as well as other public dissemination platforms.

**Requirements**:
*** **Qualifications**
- Over 1 year of research experience in deep learning (in academia or industry), preferably focusing on computer vision, medical image analysis, or natural language processing
- Masters/mid-PhD in computer science, biomedical engineering, electrical engineering, or a related field
- Proficiency in machine learning and computer vision techniques, and related Python packages (e.g., deep neural nets, PyTorch, Tensorflow)
- Familiarity with AI model research development and experiment design
- Strong interest in working on medical problems and advancing the standard of care using AI
- 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
- Excellent written and verbal communication skills in English

**Preferred Experiences**
- Experience with Git, Python, unit/integration testing, multithreading, and other software development practices
- Experience working with image data, in particular medical images
- Publications in related conferences and journals

**How to Apply**
- CV (resume, free format) submission required
- **️ Hiring Process**

Document Screening Introductory Interview Tech Interview
- Onboarding

**Work Conditions and Environment**
- Work Type : 6 months internship
- Working Location : Germany, the Netherlands, or France
- Salary: Decided after negotiation

**ETC