Machine Learning Architect

1 day ago


Helsinki, Uusimaa, Finland Doublepoint Full time

Doublepoint is a pioneer in creating cutting-edge interaction technology for next generation user interfaces on smartwatches, TV's and AR.

We are seeking a highly skilled Principal ML Engineer to join our Algorithm Team and contribute to the development of our core product - a sophisticated time-series gesture classification model.

Responsibilities
  • We are looking for an expert in designing, implementing, analyzing and improving time-series models based on smartwatch sensors like IMU and PPG sensors.
  • The ideal candidate will have experience in defining, managing and curating training data, as well as designing meaningful test sets and metrics to evaluate model performance.
  • They will also be responsible for designing model architectures and applying miniaturization techniques for running models on embedded smartwatch compute.
Skills and Qualifications
  • A minimum of 5 years of experience in machine learning engineering, preferably in real-time, time-series applications and user-centered environments.
  • Strong expertise in signal processing, machine learning, deep learning and embedded deployment.
  • Proficiency in Python, PyTorch, TensorFlow Lite and scalable ML pipeline tools like Kubeflow, MLflow, Optuna, Hydra and CICD workflows.
Preferred Qualities
  • Familiarity with gesture detection and biosignals where data varies across users substantially.
  • Familiarity with human-computer interaction, Bayesian statistics and hardware sensors and embedded systems.
  • Strong collaboration and communication skills to work effectively within and across teams.


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