Internship in Diffusion-Based Sensor Data Editing Robert-Bosch-Campus 1, 71272 Renningen, Germany Full-time Robert Bosch GmbH Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description The research team at the Bosch Center for Artificial Intelligence (BCAI) is providing an internship opportunity for Master students in machine learning, computer vision, or a related field. During your internship you will get the chance to develop and implement novel algorithms and evaluate them on Bosch datasets. Together with BCAI researchers you will perform original research and theoretical investigations in cutting-edge AI field in Generative AI (e.g. video diffusion, world models). Furthermore, you will work with the latest diffusion models and extend them with the ability to controllably generate sensor data corresponding to 3D consistent environments. This project will focus on text-based editing and insertion of objects in driving scenes. Qualifications Education: Master studies in the field of Computer Science, Mathematics, Physics or comparable with very good grades Experience and Knowledge: in machine learning, deep learning, foundation models, diffusion models or computer vision from previous internships, work, personal projects, and/or lab work; excellent and proven programming skills, particularly in Python and PyTorch/TensorFlow; familiarity with HuggingFace libraries, specifically diffusers, and FM like SAM2 is a plus Personality and Working Practice: you excel at collaborating with others, analyzing data effectively, organizing tasks systematically, and maintaining a clear overview of ongoing projects Languages: fluent in English Additional Information Start: according to prior agreement Duration: 6 months Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit. Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity. Need further information about the job? Jiayi Wang (Functional Department) 49 711 811 44429 LI-DNI