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Data Scientist - Natural Language

Engineering | East Bay, CA | Full Time

Job Description

About Us:

Ripcord is the world's first robotic paper digitization company and we are going after the outmoded but very large paper records market (think, medical records, company HR records, company financial records, legal case files, etc). For 30 years we've been talking about the paperless office but have yet to realize it. Our mission is to be the company that takes the world paperless. We are doing this by building a first of its kind robotic machine and software platform that will completely transform the records management market. 

We raised our Series A last year from Kleiner Perkins Caufield & Byers, Lux Capital and Comet Labs. Our seed investors and advisors include Steve Wozniak, Bruce Scott, Chris C Kemp and Jon Callas. 

Our team is fun, driven, and energetic. Every day we work with industrial robots, computer vision systems, and a diverse stack of software tools to tie it all together. We play VR, fly drones, and eat too much bacon.


You will be employing the latest advances in machine learning, big data and NLP to help build out artificial intelligence for our software platform. Some of the main areas of our focus include ability to find information in large repositories where traditional methods are inefficient, also behavioral learning and personalization. We have a broad set of exciting technology to develop and will be growing the team accordingly.

  •  Design and implementation of entity extraction and classification features of our system 
  •  Build both supervised and semi-supervised models within un-structured and semi-structured environments.
  •  Collaborate with other functional teams and find solutions to common problems


  • Degree in NLP or a related discipline, such as computational linguistics, machine learning, or artificial intelligence. 

  • Experience implementing NLP techniques and algorithms for entity extraction, context extraction and classification.

  • Experience with predictive analytics

  • Experience with computational manipulation and analysis of natural language documents using statistical models 

  • Experience using machine-learning, text-mining or natural language processing techniques.

  • Competencies in data structures, algorithms, and software design practices 



  • 100% of healthcare is covered!
  • Stock options
  • Daily lunch/breakfast
  • Gym & VR room
  • Commuting benefits