Data Scientist: Improving and Auditing Data
vor 1 Woche
We are seeking a highly motivated Data Scientist to join our team at Bosch Corporate Research (CR). As a researcher, you will focus on developing innovative data auditing methods leveraging foundation models to analyze data diversity, coverage, and biases.
The goal of this position is to advance our understanding of deep learning methods for improving and auditing data, as well as exploring their real-world applications for further improving the performance, reliability, and efficiency of AI models.
Key Responsibilities:
- Develop novel and automated data auditing methods, leveraging foundation models.
- Advance data filtering and annotation strategies to optimize training efficiency and streamline model evaluation processes.
- Collaborate with Machine Learning and Computer Vision experts to publish research in top-tier journals and conferences.
Requirements:
- Excellent degree in Computer Science or related field with focus on Machine Learning/Deep Learning.
- Strong background and experience in Deep Learning, with knowledge in Deep Learning frameworks (TensorFlow, PyTorch, etc.) and foundation models.
- Motivation to work in an interdisciplinary and international team.
- Fluent in English (written and spoken).
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