ML Engineer; Remote

ML Engineer (Remote, USA)

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• BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field.
• 4+ years of professional experience after BS/MS.
• Strong software engineering fundamentals. The 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.

• 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.