AI Research Scientist- Multimodal Foundational Models

Bosch Group•Sunnyvale, CA

5h•$165,000 - $195,000•Onsite

About The Position

The Bosch Research and Technology Center North America (RTC-NA) is a part of the global Bosch Group and focuses on advanced technologies in artificial intelligence, energy, internet, circuit design, semiconductors, and MEMS. Our AI research in Silicon Valley specifically targets Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, and Time-series Analysis. We aim to develop scalable, intelligent, and trustworthy AIoT solutions for various Bosch products and services across domains like automated driving, robotics, smart manufacturing, enterprise AI, health care, and smart home solutions. The Foundation Model Powered AI Enablers group, originating from this AI research, is crucial in shaping industrial AI experiences for Bosch. This group leverages cutting-edge machine learning, data analysis, and interactive visualization to research and develop scalable and transparent AI & big data analytic solutions for Industry 4.0, IoT, autonomous driving, and connected vehicles. The team has a strong track record, with awards from IEEE VIS, and actively collaborates with leading academic and industry partners, publishing in top AI conferences and journals.

Requirements

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

Nice To Haves

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

Responsibilities

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.