Responsibilities include but are not limited to: Define and conduct cutting-edge research and engineering projects in AI, including knowledge graphs, recommendation systems, explainable AI, reinforcement learning, generative modelling and multimodal learning. Work with an international team of experts to transfer the results of advanced research to Bosch business units. Benchmark, validate and test research ideas on large-scale datasets. Summarize research findings in high-quality paper and/or patent submissions. Qualifications Basic Qualifications: Ph.D. in Computer Science, Computer Engineering or equivalent (must be a current student or recent graduate – less than 1 year). Strong theoretical background and research experience in machine learning and applied AI technologies. Hands-on experience in deep learning and/or AI systems, with focus on at least two of the following areas: representation learning, recommendation systems, large language models, time series analysis, and information extraction. Programming proficiency in Python and machine learning frameworks such as TensorFlow/Keras, PyTorch, HuggingFace, etc. Preferred Qualifications: Publication record in top venues in machine learning / AI, e.g., NeurIPS, KDD, ICML, ICDM, SDM, ICLR. Familiarity with C or C++. #J-18808-Ljbffr Hitalent
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