LINGUIST List 31.3108

Wed Oct 14 2020

Jobs: English; Computational Linguistics; Discourse Analysis; Sociolinguistics; Text/Corpus Linguistics: Scientist, Dialpad

Editor for this issue: Becca Morris <>

Date: 13-Oct-2020
From: Simon Corston-Oliver <>
Subject: English; Computational Linguistics; Discourse Analysis; Sociolinguistics; Text/Corpus Linguistics: Scientist, Dialpad, Canada
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University or Organization: Dialpad
Department: Voice Intelligence, Natural Language Processing
Job Location: , Canada (Telecommute)
Web Address:
Job Title: Senior Computational Linguist

Job Rank: Scientist

Specialty Areas: Computational Linguistics; Discourse Analysis; Sociolinguistics; Text/Corpus Linguistics

Required Language(s): English (eng)


This role is on the Natural Language Processing team in the Voice Intelligence organization of Dialpad. As a Senior Applied Scientist you will study real human-human conversations, looking for ways that we could provide feedback to users so that they can have more effective, empathetic and engaged interactions with their customers. We take an eclectic approach, mixing insights and methods from Linguistics (Conversation Analysis, Sociolinguistics, syntax, semantics, Speech Act Theory) with empirical methods and state-of-the-art machine learning and computational linguistics. We have a diverse team of Applied Scientists and Data Analysts with backgrounds in Linguistics, Quantum Physics, Machine Learning, Material Science and Computer Science.

Location: Vancouver, BC or Kitchener, ON or remote

Our recent projects have focused on how to massage the transcripts of phone conversations to make them easier to read, how to extract action items and interesting customer questions, and how to model customer sentiment.

A typical project starts with a linguistic idea as you’re poring over transcripts with colleagues. You notice a recurring pattern then validate that pattern with more data. In discussions with user design and product specialists, you discuss how this linguistic insight might contribute to a product feature, e.g. to point to interesting parts of the conversation. You then draft a proposal for a new feature and then supervise a data annotation project to get the data you’ll be needing to train a machine-learned model. Eventually, that R&D results in some working code that you deploy in collaboration with the engineering teams.

Note that this is a remote work position during the COVID-19 pandemic.

Please apply using the application link provided below, not by email.

Application Deadline: (Open until filled)

Web Address for Applications:
Contact Information:
Simon Corston-Oliver

Page Updated: 14-Oct-2020