Multimodal AI Scientist: Foundation Models for Industry

Bosch USA; Sunnyvale (CA); On-site; USD 165,000 - 195,000; Full time

Benefits offered by this job

Health coverage

401(k) matching

Paid time off

Parental leave

Job summary

Bosch USA's Research and Technology Center North America in Sunnyvale, CA, leads cutting-edge AI research focused on foundation models, time-series analysis, and multi-sensor fusion for ADAS and intelligent systems. The role involves developing and validating TSFM and multi-modal DL models, partnering with cross-functional teams, and publishing findings in top venues.

The candidate will mentor junior researchers and contribute to product-relevant innovations.

Qualifications

• Ph.D. in Computer Science, Electrical Engineering, Information Technology or related field OR Masters with 2-3 years experience.
• Expertise with Time Series FMs beyond forecasting.
• In-depth experience in signal processing for sensor data and integration with deep learning.
• Proficiency in Python, PyTorch (torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning.
• Strong publication record in venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions (patents/open-source).

Responsibilities

• Develop and lead AI research labeling, predicting, classifying, clustering, describing and fusing multi-sensor data to improve ADAS functionality.
• Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM).
• Integrate TSFM with videos/images to enhance context understanding.
• Provide expert insights to management on R&D trajectory and investment decisions.
• Disseminate findings through publications and patent submissions.

Skills

Time Series FMs

Python

PyTorch

Signal Processing

Publications

Teamwork

Education

PhD in CS/EE

Masters + 2-3 yrs exp

Tools

Git

MLFlow

VSCode/PyCharm

Slurm/LSF

Job description

Bosch USA's Research and Technology Center North America in Sunnyvale, CA, leads cutting-edge AI research focused on foundation models, time-series analysis, and multi-sensor fusion for ADAS and intelligent systems. The role involves developing and validating TSFM and multi-modal DL models, partnering with cross-functional teams, and publishing findings in top venues.

The candidate will mentor junior researchers and contribute to product-relevant innovations.