Senior ML Engineer

Requirements:

• BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
• 7+ years of professional work experience after BS/MS applying machine learning to real-world problems, and crafting scalable and effective ML/AI solutions.
• Strong domain knowledge in at least one of the following: RAG, LLM, information retrieval, Multimodal LLMs.
• Excellent programming skills in Python. Proficiency in data/ML libraries such as pandas, transformers, and torch.
• Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval-Augmented Generation (RAG), mixture of experts (MoE).
• Hands-on experience in training ML systems end-to-end from data curation to evaluation and deployment.
• PhD in Computer Science/Engineering with 1+ years of industry experience.
• Publications in top-tier venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, or ICLR as a key autho...