LLM & Agentic AI R&D Intern

Description du poste:

Job Description

* Conduct research on Large Language Model (LLM) and Agentic AI to address academic and industrial challenges.
* Collaborate with mentors and other colleagues to integrate the developed methods into prototype systems for Bosch applications such as AI agents, RAG, engineering assistance, information extraction, etc.
* Summarize research findings in high-quality NLP conference papers (e.g., ACL, EMNLP, AAAI) and/or patent submissions

Profil requis du candidat:

Qualifications

Basic Qualifications
* Ph.D., Master or Bachelor in Computer Science or Engineering (must be a current student or recent graduate - less than 1 year)
* Strong research experience in natural language processing, machine learning, and related fields.
* Hands-on experience on large language models, including training, fine-tuning, and prompting.
* Hands-on experience on state-of-the-art NLP / AI libraries and toolkits
* Good communication and team-working skills
Preferred Qualifications
* Publication record in top NLP or machine learning venues (e. g. ACL, EMNLP, AAAI, NAACL, TACL).
* R&D experiences on LLM based agents, task planning / decomposition, and reasoning.
* R&D experiences on retrieval-augmented generation.
* R&D experiences on multi-modal foundation models.
* R&D experiences on reinforcement learning