Artificial Intelligence / Machine Learning: Foundation Models - Intern

What you'll do

• Implement research results to solve real-world challenges and integrate them into Bosch platforms.
• Document and disseminate findings through publications and/or patent submissions.
• Research foundation models, data-centric AI, and related methods for Bosch AIoT applications.

What they ask for

• Currently pursuing a Master's degree with peer-reviewed publication(s) in machine learning, deep learning, or computer vision, or hold a Ph.D. in Computer Science or a related discipline.
• Research experience or 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; minimum GPA of 3.0.

Nice to have

• Knowledge of Foundation Model AI tooling, ADAS, spatiotemporal machine learning, deep graph learning, representation learning, or model distillation; familiarity with PyTorch.
• Experience with vision and multimodality foundation models (e.g., SAM, CLIP, LLaVA) or AI-based ADAS solutions; strong math and statistics background.

Pay

$42.00-69.00 USD hourly base salary

Tools

Python, PyTorch, SAM, CLIP, LLaVA

AI focus

Research and engineer foundation models and data-centric AI, including AI tooling, spatiotemporal and time-series learning, and representation learning; apply these to Bosch AIoT domains such as ADAS, connected vehicles, Industry 4.0, IoT, and car multimedia.