Lead Time-Series Foundation Models Scientist (ADAS)

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

Benefits offered by this job

Premium health coverage

401(k) with generous matching

Financial planning resources

Ample paid time off

Parental leave

Life and disability protection

Job summary

Bosch USA in Sunnyvale is seeking a high-impact AI research scientist to lead projects that fuse multi-sensor data for ADAS and other Bosch products. You will design and validate timeseries foundation models, integrate multimodal data, and publish or patent innovative results.

You will collaborate with interdisciplinary teams, publish in top venues, and contribute to strategic planning and R&D roadmap development. A PhD or MS with relevant experience is required, plus strong PyTorch expertise.

Qualifications

• Ph.D. or Master’s with relevant experience in AI/ML.
• Experience applying time-series foundation models beyond forecasting.
• Strong signal processing with sensor data and deep-learning methods.

Responsibilities

• Develop and lead AI research labeling, predicting, classifying, clustering, describing and fusing multi-sensor data to enable ADAS and AI in Bosch products.
• Architect, design and validate multimodal deep learning and TSFM models for multivariate time series.
• Integrate timeseries models with videos/images to enhance context understanding.
• Provide expert insights to management on R&D trajectories and investments.
• Publish findings or submit patents to disseminate research.

Skills

Time Series FMs

Signal processing

Python

PyTorch

Publications/patents

Collaboration

Education

PhD in CS/EE/IT or related OR MS with 2–3 years experience

Tools

PyTorch

torchaudio

torchvision

torchmetrics

PyTorch Lightning

Job description

Bosch USA in Sunnyvale is seeking a high-impact AI research scientist to lead projects that fuse multi-sensor data for ADAS and other Bosch products. You will design and validate timeseries foundation models, integrate multimodal data, and publish or patent innovative results.

You will collaborate with interdisciplinary teams, publish in top venues, and contribute to strategic planning and R&D roadmap development. A PhD or MS with relevant experience is required, plus strong PyTorch expertise.