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Senior Machine Learning Engineer

Vectara · US Remote

Remote Senior
RAGRerankingOrchestrationDeep learningPythonEmbeddingsNLPComputer visionPyTorch

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. Equity and Salary Range:  Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Job responsibilities Design, prototype, research and build AI systems for Vectara. Train, evaluate and deploy ML models in the domains

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