Multimodal AI Research Scientist - GenAI & Robust Systems

Robopgh; Pittsburgh (Allegheny County); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Wellness incentives

Parking & pool cars / e-Bikes

Language class

Job summary

Bosch Pittsburgh research team specializes in multimodal foundation models, GenAI, and AI-based sensing to empower Bosch products and services. The role emphasizes rigorous research, collaboration with global experts, and dissemination of results through publications and patents.

The ideal candidate has a PhD or equivalent with 4+ years of research in multimodal AI, strong programming skills, and a proven publication record in top conferences.

Qualifications

• Ph.D. in Computer Science or Engineering or a related discipline, or a master’s with 3+ years of industry research experience.
• 4+ years of research experience on multimodal foundation models, agentic AI, robust GenAI.
• Proficiency in Python or C++ and hands-on experience with AI libraries.
• Publication record in top venues such as ICML, ICLR, ICRA, CVPR, ICCV, ECCV, NeurIPS, etc.

Responsibilities

• Conduct research on multimodal foundation models, agentic AI, robustness and efficient GenAI to address academic and industrial challenges.
• Collaborate with an international team to transfer Bosch AI innovations into products.
• Disseminate research findings through publications and patent submissions.
• Provide expert insights to management for R&D strategy and investments.

Skills

Python

C++

Multimodal foundation models

Agentic AI

GenAI

Publications (ICML/NeurIPS etc)

Communication & teamwork

Education

Ph.D. in Computer Science or Engineering, or related discipline

Job description

Bosch Pittsburgh research team specializes in multimodal foundation models, GenAI, and AI-based sensing to empower Bosch products and services. The role emphasizes rigorous research, collaboration with global experts, and dissemination of results through publications and patents.

The ideal candidate has a PhD or equivalent with 4+ years of research in multimodal AI, strong programming skills, and a proven publication record in top conferences.