Natural Language Processing Engineer (PhD)

Toronto, ON, Canada
Part Time
North America Technology
Mid Level

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

About the role:

We are looking for a Ph.D. candidate with knowledge of Natural Language Processing, for a remote, part-time consulting position

Role scope:

  • Work with a team of applied scientists to help them qualitatively test new machine learning models outputs in your languages of expertise
  • Provide linguistic expertise and direction for language-specific NLP
  • Critical thinking and development of solutions for machine learning (ML) and/or natural language (NL) applications
  • Collaborate cross-functionally with linguists, researchers, and developers
  • Integrate, maintain, and test speech-enabled software applications
  • Identify linguistic needs and gaps within project ontologies and NLP systems
  • Anticipate language-based problems before they occur
  • Identify opportunities to improve user experiences with NLP features

Requirements for the role:

  • Ph.D. in Natural Language Processing.
  • 5 combined years of academic and industrial research experience.
  • Experience with Named Entity Recognition (NER)
  • Experience with text classification, text clustering, topic modeling, and translation.
  • Understanding of tag sets, and syntactic parsing
  • Familiarity with Machine Learning tools, models for Natural Language Processing applications, experimental design, research methodologies, qualitative and quantitative analysis

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.


 

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