Machine Learning Engineer, Vectara

• This position is for search engineers and researchers with extensive prior expertise
• Ideal candidates will have expertise in one or more of the following areas:
• Design of dual-encoder models for information retrieval
• Search evaluation
• Search ranking techniques, including cross-attentional rerankers and adaptive rerankers (e.g. LambdaMART)
• Statistical calibration techniques, especially for deep neural networks
• Experience developing large-scale commercial search systems
• Neural approaches to Open domain QA and Zero-shot IR
• Familiarity with sparse and dense IR methods
• Machine learning techniques, including, but not limited to, deep learning

Desirable

• Vectara is on a mission to provide a scalable platform for neural information retrieval, to help our customers build the next generation of semantically-aware search systems
• Our founding team includes industry veterans (Amr Awadallah, cofounder of Cloudera), and experts in neural IR and distributed systems from Google