ML Engineer

Requirements:
BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
4+ years of experience after BS/MS.
Strong software engineering fundamentals role involves research as well as writing production-grade code.
Knowledge of common challenges in training machine learning models and best-practice solutions.
Familiarity with deep learning concepts such as Transformers, Retrieval-Augmented Generation (RAG), and Mixture of Experts (MoE).
Proficiency in data/ML libraries such as pandas, transformers, and torch.
Hands-on experience training ML systems end-to-end, from data curation to evaluation and deployment.
Ability to collaborate effectively with cross-functional teams.
PhD in Computer Science/Engineering with 1+ years of industry experience (preferred).
Publications in top-tier venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, or ICLR as a key author.
Experience working as an ML engineer in an early-stage, ...