Bosch's Foundation Model Powered AI Enablers group is looking to research and develop scalable and transparent AI & big data analytic solutions for various Bosch business fields, including Industry 4.0, IoT, autonomous driving, and connected vehicles, by fusing cutting-edge machine learning, data analysis, and interactive visualization technologies.
Requirements
- 3+ years of research experience, or an equivalent graduate research background, primarily in AI technologies including Foundation Models and Data-centric AI.
- Publications in premier machine learning, deep learning, and computer vision journals and conferences.
- Proficiency in one or more programming languages commonly used in machine learning (e.g., Python).
- Knowledge in machine learning and deep learning, notably in Foundation Model AI tooling, ADAS, spatiotemporal machine learning, deep graph learning, general representation learning, model distillation, and related areas.
- Familiar with major machine learning platforms like PyTorch.
- Experience in vision and multimodality foundation models (e.g., SAM, CLIP, LLaVA) and AI-based ADAS solutions is a plus.
- Strong background in math and statistics is a plus.
Responsibilities
- Conduct research and engineering in AI and machine learning, with a particular focus on Foundation Models and Data-centric AI.
- Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms.
- Document and disseminate research findings through high-caliber publications and/or patent submissions.
Other
- Ph.D. students in Computer Science or a related discipline.
- Minimum GPA of 3.0
- Strong interpersonal, communication, and teamwork capabilities.
- Candidates who have been offered the position must pass both screenings before their start date.
- Employment is contingent upon the successful completion of a drug screen and background check.
