- Company Name
- Bosch USA
- Job Title
- AI Research Scientist – GenAI
- Job Description
-
**Job Title**
AI Research Scientist – GenAI
**Role Summary**
Conduct advanced research on large language models (LLM) and agentic AI to solve academic and industrial challenges. Develop Bosch’s in‑house LLM and AI agent solutions, collaborate with an international team, publish high‑impact papers or patents, and provide strategic technical guidance to senior management.
**Expectations**
- Lead end‑to‑end research projects on foundation models, fine‑tuning, reinforcement learning, prompting, and retrieval‑augmented generation.
- Translate research outcomes into scalable prototypes for Bosch AI products and services.
- Stay current with state‑of‑the‑art techniques and represent Bosch at conferences and technical events.
- Deliver clear documentation, publications, and patent filings.
- Advise on R&D direction, technology roadmaps, and investment decisions.
**Key Responsibilities**
- Design, implement, and evaluate LLM and agentic AI algorithms (post‑training, RL, RAG, optimization).
- Build and test prototypes integrated into AI‑oT solutions for domains such as ADAS, robotics, smart manufacturing, and enterprise AI.
- Collaborate with internal business units, external academic partners, and industry groups.
- Present research findings internally and at top conferences (ACL, NeurIPS, CVPR, etc.).
- Produce technical reports, white papers, and patent applications.
- Mentor junior researchers and contribute to cross‑functional team goals.
**Required Skills**
- Ph.D. in Computer Science, Engineering, or related field (or M.S. with 3+ years relevant industry experience).
- ≥2 years research experience on LLMs/NLP, including fine‑tuning, RL, prompting, or agentic AI.
- Proficient in Python and/or C++; hands‑on with AI/NLP frameworks (PyTorch, TensorFlow, HuggingFace, etc.).
- Strong publication record in top venues (ACL, EMNLP, NeurIPS, AAAI, ICML, ICLR).
- Excellent written and verbal communication; ability to work effectively in international, multidisciplinary teams.
**Required Education & Certifications**
- Ph.D. in Computer Science, Engineering, or a closely related discipline **or** a Master’s degree with ≥3 years of relevant industry experience.
- No specific professional certifications required.