The AI Foundations Co-Op position at IBM Research focuses on conducting innovative research and developing algorithms to enhance the reliability and trustworthiness of large language models (LLMs). The role involves collaboration with leading scientists and engineers in a dynamic research environment. The team is dedicated to pushing the boundaries of AI technology and contributing to significant breakthroughs. This opportunity allows for personal growth while addressing real-world challenges in computing.

• A Master's Degree is required.
• Strong foundational knowledge of large language models, including Transformer architectures and training paradigms.
• Proficiency in deep learning frameworks such as PyTorch and strong programming skills in Python.
• Solid understanding of machine learning fundamentals, including optimization, probabilistic modeling, and evaluation methodologies.
• Ability to independently design experiments, analyze results, and iterate on research ideas.

• Conduct cutting-edge research and algorithm development to improve the reliability and trustworthiness of large language models.
• Develop methods to detect LLM hallucinations using probabilistic modeling and related techniques.
• Design and implement approaches to reduce LLM hallucinations through various advanced methods.
• Prototype, implement, and evaluate models using modern machine learning frameworks.
• Contribute to research publications, technical reports, and project deliverables.

• IBM offers competitive compensation, healthcare coverage, retirement programs, paid parental leave, tuition assistance, wellness programs, flexible work options, and extensive learning and certification resources.