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Opportunity to work with a fast-moving startup that is scaling globallyPotential to join full-time after exjobbStockholm or Umeå

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Academic year: 2021

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Exjobb Summary

Thingmap is avirtual assistant that helps distribute knowledge 'invisibly' across organisations using machine learning, natural language processing, and other machine intelligence solutions.

Opportunity to work with a fast-moving startup that is scaling globally Potential to join full-time after exjobb

Stockholm or Umeå Thesis Project

Develop a system, building on our existing product, that uses machine intelligence to extract and organise key information from natural language. Build product APIs. Work closely with the team to iterate the existing product to optimise product-market fit.

Product

Virtual assistant that combines human and machine intelligence to identify the most relevant person in your organisation, each time you have a question.

Skills

Backend engineer with machine intelligence experience (machine learning and/or natural language processing)

Experience with Python and JavaScript Proactive, ambitious and a self-starter

Keen to learn and implement cutting edge technologies Keen to work and/or collaborate internationally

Fluency in English Team

Dr. Tor Sandén (Umeå University, KTH, Imperial College London, EPFL):

physicist and developer, previous work in product development and

nanotechnology research. Melisande Middleton (Stanford, Harvard, Sciences Po, World Economic Forum): built a global media organisation now active in 90+

countries.

Partners

Include SP technical research institute of Sweden (early customer, helps design the product), KTH (technical advisor), World Economic Forum (early customer, provides network of advisors).

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Contact

melisande@thingmap.com www.thingmap.com

References

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