The candidate will be responsible for conducting cutting-edge research on natural language processing, developing prototype solutions to real-world problems, and publishing papers in top-quality conferences. The ideal candidate will be hands on with distributed programming skills, stays on top of AI research and will be responsible for wide spectrum of tasks from ideation, running ablation experiments to prove out ideas, distributed model training, evaluation on various use cases and will enable better collaboration with other IBM teams for areas that need joint attention.

Required Technical and Professional Expertise

• Applicants should be PhD & MS students.
• Ability to quickly prototype ideas and use creative approaches for developing large language models.
• Developing novel architectures for language models and implement these models using open-source libraries.
• Making language models more interpretable, explainable, and transparent.
• Systematically evaluating language models on standardized academic and enterprise benchmarks.

Preferred Technical and Professional Expertise

• Publication in top AI conferences
• Experience with distributed training and inference of large language models