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Kensho // scalable machine intelligence & analytics
 
Engineering, Full Time    Remote    Posted: Monday, April 18, 2022
 
   
 
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JOB DETAILS
 
Who We Are

Kensho is a 100-person AI & machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest & most successful businesses & institutions. Our toolkit illuminates insights by helping the world better understand, process, & leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) & include speech recognition (ASR), entity linking (Named Entity Disambiguation), structured document extraction, automated database linking, text classification, & more. We are continuously expanding our portfolio & are looking for passionate researchers to help us build & deploy state-of-the-art models across a variety of domains!

At Kensho, we believe in flexibility-first, & give our employees the opportunity to work from where they feel most productive & engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (NY/DC/MA) will be required for team meetings or company events.

About The Role

Our Document Intelligence team is a group of outstanding ML practitioners that aims to extract, structure, & understand the information contained inside unstructured documents.

The team is building state-of-the-art ML solutions for a wide range of complex problems, including information extraction from document text & tables, document layout analysis, optical character recognition (OCR), & more. These solutions power our customers' data operations (including S&P Global's), & serve as the foundation for Kensho's natural language processing  products, such as NERD & Classify.

The Document Intelligence team works closely with the Data, Product, Backend & Frontend teams, & has the full support of our ML operations & Infrastructure teams.

We are currently seeking a Senior ML Engineer to help accelerate our model development cycle & continually raise the standards of prototyping, building & maintaining state-of-the-art ML solutions.
 
 
 
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