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    Internship: Machine Learning

    • Hybrid
      • Amsterdam, Noord-Holland, Netherlands
    • €400 per month
    • Futurewhiz

    Job description

    đź“Ť Location: Amsterdam (hybrid)

    đź“… Duration: 6 months

    💰 Compensation: €400/month

    Do you have top-level analytical skills and an affinity with the AI/data science field? Would you be able to bring a fresh perspective to EdTech, while helping hundreds of thousands of kids to excel in their educational career through fun and effective learning? Sounds like this role could be for you!

    About Futurewhiz, StudyGo, and Squla

    For 15 years, Futurewhiz has been the market leader in EdTech in the Netherlands. Our brands, including Squla and StudyGo, help children and teenagers aged 3 to 18 learn and grow at their own level and pace. Our mission is clear: "Empowering every child to grow." We’ve been a certified B Corp since 2020, which means we strive for a strong balance between purpose and profit.

    At Squla, children up to grade 8 practise all school subjects through fun quizzes and games. Everything has been developed by education experts and fits the Dutch education system.

    StudyGo is the platform for secondary school students to prepare for tests. From learning words to tutoring and tutoring: StudyGo offers a comprehensive toolkit to help students succeed. With 650,000+ users per year, we are a fixture in secondary education.

    Internship overview

    The Efficacy Lab, inside of the AI team, pushes the boundaries of personalized education through machine learning and experimentation.

    Building on our existing Deep Knowledge Tracing model, which estimates mastery levels to make personalized content recommendations, you’ll enhance the model by integrating LLM-based tokenization of text features. By connecting the DKT model to an LLM API, we aim to model richer, contextual representations of user interactions and content.

    What will you do as an Efficacy Lab intern?

    • Model integration: Connect our production-grade DKT model with an external LLM API (e.g. OpenAI, Anthropic) to tokenize and encode textual features.

    • Feature engineering: Design and test text-based embeddings for learning materials, user interactions, videos, explanations, etc.

    • Proof of Concept (PoC): Implement the end-to-end pipeline (feature ingestion, DKT+LLM fusion, evaluation) in the real world on the StudyGo platform.

    • Research: Survey state-of-the-art LLM + knowledge tracing techniques. Example references:

      • Deep Knowledge Tracing (Piech et al., 2015)

      • XGBoost-Based Knowledge Tracing (Su et al., 2023)

    • Experiment design: Propose and implement evaluation strategies (A/B test, retrospective), including mastery-level and recommendation-quality metrics.

    • Collaboration: Work cross-functionally with content specialists, UX designers, and backend engineers to embed your PoC into the platform.

    • Analysis & reporting: Evaluate outcomes, draw insights, and recommend enhancements or scaling paths.

    Job requirements

    You bring

    • Background in Machine Learning, (Behavioural) Data Science, AI, Computer Science, or related field

    • A strong statistical background

    • Experience with Python (e.g. PyTorch, TensorFlow, XGBoost)

    • Strong analytical and innovative mindset, ability to work both independently and in teams

    • Understanding of sequence models, knowledge tracing (e.g., DKT), and evaluation metrics is a plus

    • Familiarity with LLMs and embedding APIs is a plus

    • Excellent communication skills in English

    We offer

    • Hands-on experience in a fast-growing EdTech environment

    • Access to real platform data and production-like models

    • Mentorship from experienced data scientists and ML engineers

    • Flexible working (hybrid or remote days)

    • Monthly allowance of €400

    Additionally:

    • Lifetime access to StudyGo and Squla accounts

    • Office next to Amsterdam Bijlmer ArenA station

    • A MacBook for work, for the duration of your internship

    • Healthy lunches at the office, unlimited good coffee, fresh fruit, and snacks

    • A Culture Crew that organizes fun activities like outings, pub quizzes, ski trips, and laser tag

    Who are we?

    We’re a passionate and diverse team, brought together by a shared mission: helping children thrive in their learning journey, and empowering them to grow through personalized education. 

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