Position Details
About this role
Senior-level AI research position focused on multi-sensor data fusion and multi-modal deep learning for autonomous driving, predictive maintenance, and smart home devices. Responsibilities include leading research projects, model design/training/evaluation, and publishing findings.
Key Responsibilities
- Develop and lead research projects focusing on multi-sensor data fusion
- Design, train, evaluate multi-modal deep-learning models
- Offer expert insights to management on R&D trajectory
- Publish findings and/or file patents
- Transfer research artifacts into products and processes
Technical Overview
Stack emphasizes Python and PyTorch-based DL, especially for multi-modal data; includes research-to-product transfer, publication, and collaboration across Bosch business units; requires PhD or Masters with relevant experience.
Ideal Candidate
The ideal candidate is an experienced AI researcher with a PhD or a strong Master's, 2+ years of professional work in signal processing and multi-modal DL, and a proven publication record. They should be proficient in PyTorch, comfortable with industrial research contexts, and capable of transferring research artifacts into products.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of required degree or 2-3 years of related experience, No demonstrated publication record in relevant venues, Limited proficiency with PyTorch or DL frameworks
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile