AI Research Scientist- Multimodal Foundational Models
$165,000–$195,000 year
Hybrid · Sunnyvale, California, United States
Job Summary
AI Research Scientist for Multimodal Foundation Models: lead research on labeling, predicting, classifying, clustering, describing, and fusing multi-sensor data (acoustic, telemetry, vibration, radar, lidar, image, Wi-Fi, ultrasound) to enhance ADAS and other Bosch AI capabilities. Design and validate multi-modal deep learning and Timeseries Foundation Models to work with multivariate time-series signals; integrate information from videos/images to improve context understanding; provide expert insights to management; publish and/or file patents illustrating findings.
Required Qualifications
- Ph.D. in Computer Science, Electrical Engineering, Information Technology or 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
- Strong publication record in 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 data-centric AI, synthetic data generation, agentic AI
- Proficiency with Git, VSCode or PyCharm, MLFlow
- Familiarity with Slurm, LSF
- Hands-on experience in product development for consumer/enterprise markets
- Experience leading projects with small teams, mentoring junior researchers and interns, managing timelines
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