D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or relevant technical field Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Experience with deep learning frameworks Experience building systems based on machine learning, deep learning methods, or natural language processing Familiarity with algorithms behind generative model training and common deep learning architectures (Transformers, BERT etc.) Intent to return to the degree program after the completion of the internship/co-op Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP and KDD Research or project experience in one or more of the following: LLM reasoning, agentic systems and tool use, recursive self-improvement, reinforcement learning, automated evaluation, learning from feedback, behavioral or graph representations, weak supervision, or transfer learning. Experience applying these methods to adversarial or other real-world problems is a plus Demonstrated software development experience via tech internships, work experience, coding competitions, or widely used contributions in open source machine-learning repositories Experience working and communicating cross functionally in a fast-paced team environment.