Principal Applied Computational Linguist Engineer(US)

San Mateo, California, United States | Research and Development | Full-time


Who are we

interface, Inc. is a low code platform for enterprises to build digital assistants. It is headquartered in San Mateo, California. The founding team comes from some of the core AI groups of Microsoft with over 25 years of experience in building enterprises generating close to $50 Million in revenue and $2 Billion in transactions.

interface is proud to be powering some of the largest and most innovative enterprises across the world. Currently, the platform already processes millions of conversations every day with the total capacity across all the deployments adding up to 15,000 conversations per second or 1.2 Billion per day - close to 30% of Google’s worldwide traffic, making interface one of the leading players in the industry by far.

With the new version of our platform, we will be expanding the industries we target to include - Banking and Financial Services, Insurance, Online Retail and E-commerce, and Software.

What you will be doing?

  • You will be working with a team of world-class developers on technologies that people won't be able to live without - AI, NLP, Data Science + Bots.
  • Design and implement state-of-the-art NLP systems to enable organic, emotionally responsive conversation
  • Push the envelope on current NLP technology and develop new algorithms for our interactive robot platform
  • Train and/or evaluate NLP or dialogue solutions, identify errors/regressions and propose solutions.
  • Work with a creative team of CES, UX designers to develop engaging multimodal content

 Good if you have

  •  Master’s degree, Ph.D. or equivalent in artificial intelligence, deep learning, machine learning, data science, computer science, or a similar field.
  • Expertise in Applied Computational Linguistics or have an equivalent degree
  • Expertise in NLP techniques and models
  • Worked on Knowledge Representation and reasoning(relationship representation and extraction,ontology,lexicon and related technologies).
  • Worked on Automatic knowledge acquisition from text such as semi/unsupervised ontology induction.
  • Experience with language models, intent detection, entity extraction, semantic parsing
  • Out of the box and Creative thinking
  • Strong Programming skills in Functional or OO Programming Language, experience of Python is desirable though not mandatory
  • 5+ years of experience in inspiring and leading NLP / AI teams and delivering scalable complex technical products, which includes working in fast-paced startup(s).
  • Experience in Dialog Analysis/Modeling is preferred with proven statistical skills
  • Experience in supervised/unsupervised ML Models is a plus