ML Engineer (Remote, USA)

About the job ML Engineer (Remote, USA) 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, high-growth environment. • Expertise includes embedding models, rerankers, multimodal retrieval, question answering, reasoning, vector databases, and BM25. • Skilled in planning and reasoning in LLMs, multilinguality in LLMs, and NLG evaluation, including hallucination detection. Responsibilities: • Design, prototype, research, and build AI systems for the Company. • Train, evaluate, and deploy ML models in Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs), and Multimodal Large Models (MLMs). • Improve the quality of the Company's RAG-as-a-service platform, including areas such as multilinguality, self-supervised learning, agentic behavior, and hallucination reduction. • Publish technical blogs, research papers, and patents. Apply tot his job Apply To this Job