Internship - Machine Learning

3 weken geleden

Utrecht, Nederland Snappet Voltijd

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.

What are we looking for:

- Applicants with a data background and who are enthusiastic about improving education

- Strong preference for applicants that want to either write their master thesis as part of their last year in a Machine Learning related master; or do an internship as part of their PhD research. We are flexible to timing, but applications can for example begin their internship part-time in the fall of 2024, and then move to full-time in late 2024 or early 2025.
- Applicants need to be fluent in python and be experienced with important datascience packages (pandas, numpy, matplotlib, tensorflow, pytorch). Experience with SQL, parallel processing, (AWS) cloud computing, recommendation systems, knowledge tracing algorithms, matrix factorisation, reinforcement learning or transformer networks are all considered a significant plus.

What we offer:

- Research in an area with direct societal impact

- Mentorship by our data scientists and machine learning engineers

- The possibility to write your master thesis as part of your internship.

- Unique opportunity to work with big data in a medium-sized company

- An internship compensation

Please note that we will only start reviewing applications in June 24.

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