Senior Machine Learning Engineer

Role Description Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, an optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production-ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients, including the likes of large US military organizations, Financial services, Healthcare, and Manufacturing. Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more. Job responsibilities: Design, prototype, research and build AI systems for Vectara. Train, evaluate and deploy ML models in the domains of Natural Language Processing, Information Retrieval, AI Agents, Large Language Models (LLMs) and Multimodal Large Language Model (MMLLMs). Improve the quality of Vectara’s AI Agents and RAG-as-a-service platform, working on features like agentic behavior, hallucination reduction/correction, and agent orchestration. Publish technical blogs, papers, and patents. Qualifications BS/MS in Computer Science, Statistics, Electrical/Computer Engineering, Mathematics, or a related field. 8+/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. Requirements PhD in Computer Science/Engineering with 3+ years of industry experience. Publications in prestigious venues such as ACL, NAACL, EMNLP, NeurIPS, ICML, ICLR as a key author. Experience as an ML engineer in an early-stage, high growth environment. Expertise in the following areas: Embedding models, rerankers Multimodal retrieval, question answering, and reasoning Vector databases, BM25 Planning and reasoning in LLMs Multilinguality in LLMs NLG Evaluation such as hallucination detection Benefits 100% paid Medical, Dental, Vision begins on your first day! Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time, holidays, and company rest days. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more.