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# AI Research Scientist- Multimodal Foundational Models

- **Company:** Propertyvalue Bosch
- **Location:** Sunnyvale, United States
- **Experience:** Experienced
- **Salary:** $165,000.0 - $195,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Integrated Development Environments, Job Scheduling, Python (Programming Language), Signal Processing, Wi-Fi Technology, High Performance Computing, Pytorch, Large Language Models, Deep Learning, Git, Information Technology, Slurm, Machine Learning Operations, Lidar, Software Version Control, Data Generation
- **Published:** August 28, 2026
- **Apply:** https://www.dice.com/job-detail/d6d4db71-ecea-40ed-ab78-b45ee5f72177

## About the Role

* Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience
 * Expertise with Time Series FMs (beyond the time series task of forecasting)
 * In-depth experience in signal processing for sensor data and their integration with deep-learning methods
 * Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning
 * A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects
 * Strong interpersonal, communication, and teamwork capabilities, * 3+ years of experience in industrial research
 * Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI
 * Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow)
 * Familiarity with high-performance computing systems and job schedulers (Slurm, LSF)
 * Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets
 * Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints

## Description

* Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products.
 * Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals.
 * Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding.
 * Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions.
 * Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions.


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