Senior ML Engineer (Remote, USA) jobs in United States
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HR POD Careers ยท 8 hours ago

Senior ML Engineer (Remote, USA)

HR POD Careers is seeking a Senior ML Engineer to design, prototype, research, and build AI systems. The role involves training, evaluating, and deploying ML models in various domains including Natural Language Processing and Information Retrieval.

Management Consulting

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 AI Agents and RAG-as-a-service platform, including features such as agentic behavior, hallucination reduction/correction, and agent orchestration
Publish technical blogs, research papers, and patents

Qualification

Machine LearningPythonDeep LearningRAGLLMInformation RetrievalMultimodal LLMsData CurationEvaluationDeploymentPublicationsPlanningReasoningMultilingualityNLG EvaluationHallucination Detection

Required

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 author
Experience 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

Company

HR POD Careers

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Funding

Current Stage
Early Stage
Company data provided by crunchbase