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Internship - Machine Learning

72% Flex
Remote: 
Full Remote
Work from: 

Offer summary

Key responsabilities:

  • Research in knowledge tracing, performance prediction, personalization using machine learning.
  • Work with data to provide insights to teachers and tailor pupil experience.
Snappet logo
Snappet Education SME https://www.snappet.org/
51 - 200 Employees
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Job description

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Your missions

Snappet is a company transforming primary education. Using smart classroom technology, we managed to increase learning outcomes (scientifically proven) in thousands of primary schools. Part of the benefit is that the platform saves teachers almost an hour a day by removing the workload of correcting answers and finding adequate exercises for pupils. Other improvements are algorithmic-driven, using data to provide insights to teachers and to tailor the experience of the pupils. Research on the algorithms is important, and Snappet will actively support interns with an internship compensation, extensive mentorship, readily available data and state-of-the-art computing resources.


The research will take place in the related domains of knowledge tracing (keeping track of the pupils’ learning), performance prediction (being able to predict the (in)correctness of the answer of a pupil on a given question) and personalization (being able to decide what content fits best for a pupil or classroom at any given time given their state). As such it brings together recent improvements from the machine learning domain to the educational data mining area.


As a scale-up, Snappet is currently active in the Netherlands, Spain and the US. The office is located in Utrecht but we can easily facilitate online-only internships. There are 100-200 people working at Snappet, and around 14 of those remain involved in researching and engineering our algorithms. We have more than 300 000 pupils working with Snappet during their school day (most on a daily basis), who together answer more than 15 million questions a day. This is more than enough data to create impactful machine learning and deep learning approaches for pupil learning.


Required profile

Experience

Industry :
Education
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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