Intern Associate Researcher - RAG/LLM

Our team has an immediate intern opening for an Associate Researcher.

Responsibilities:

• Research and develop innovative DL architecture and algorithms for large language models (LLM) and retrieval-augmented generation (RAG).
• Survey the recent development in the related field and proactively communicate with the team members.
• Apply cutting-edge research to solve impactful real-world problems, publish at top-tier conferences, and invent patents.
• Publish at top-tier ML conferences, file high-value patents, and write scientific technical reports.
• Contribute to the design, implementation, test, and maintenance of research and development frameworks.
• Collaborate with researchers and developers across teams and projects.

What you'll bring to the team:

• Currently enrolled in a Master’s or PhD program in Computer Science, Electrical Engineering, Machine Learning Mathematics, or a related field.

• Experienced in deep learning, natural language processing and large language models.

• Having good research and development skills.

• Experience in machine learning and deep learning with libraries as TensorFlow or PyTorch (Experience in developing large language model and retrieval-augmented generation is an asset).

• Curious, like to think out-of-the-box, comfortable being outside your comfort zone and appreciate complex challenges.

• Experience with Git and code reviews.

• At least one first-author accepted paper in one of the following conferences: NeurIPS/ICML/ICLR/TMLR/JMLR/AAAI/IJCAI/CVPR/SIGIR/Interspeech/ICASSP/KDD/TACL/ACL/EMNLP/NAACL/EACL.