Machine Learning Engineer

Break down the barriers between

player and game.

Your mission

  • Develop a world-leading ML model to classify human activity from Inertial Measurement Unit (IMU) sensor data.
  • Your model is core to the immersiveness of Quell’s player experience, linking their movements to the game world. High accuracy and low latency are your holy grails.

Your week.

  • Build and iterate on the model to create the most compelling player experience possible
  • Define and execute on the data acquisition and training strategy
  • Test model interaction with gameplay to guide development
  • Optimise the model for performance on key platforms
  • Work with the CTO to define milestones and objectives

What we’re looking for.

  • Experience with human activity recognition
  • 3+ years’ experience as an ML Engineer or similar role including neural network experience
  • Strong experience in Python and relevant libraries (scikit-learn, pandas)
  • Experience with constrained environments (microcontrollers, mobile phones etc.)
  • Clear communication of tech challenges and decisions to the wider team

Extra credit.

  • Time series analysis using appropriate neural networks (CNN, LSTM, RNN)
  • Experience with accelerometer/gyroscope/IMU data
  • Arduino/microcontroller programming
  • Experience with wearable technology/gaming applications
  • Experience with TensorFlow
  • Experience deploying ML in production environments


  • Top-of-market salary & equity in a high-growth, well-capitalised start-up
  • Free books. We’ll add anything you like to our library
  • Discounted bikes. Save up to 25%+ through our cycle to work scheme
  • Shape the culture of a young, ambitious organisation

Apply now.

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