Deep Learning Engineer

accountabilities

  • Developing deep learning models for estimation of health parameters from biosignals, representation learning and signal reconstruction.
  • Conducting research on deep learning architectures for biomedical signal analysis.
  • Ensuring good quality of the code.
  • Documenting work and sharing results with the team.

requirements

  • MSc / PhD in Computer Science, Mathematics, Statistics, Biomedical Engineering, Computational Neuroscience or similar.
  • Experience in delivering machine learning products, in particular, experience with predictive models based on time-series data from sensors.
  • Deep knowledge of statistics and machine learning concepts. Experience with signal processing is a strong plus.
  • Good software engineering skills in Python (must)
  • 3+ years experience in designing neural network architectures for time-series and signal data. Knowledge of machine learning frameworks such as Tensorflow and Pytorch.
  • Knowledge of scientific libraries such as Sklearn, Scipy, Numpy, Pandas.
  • Interest in human physiology, medicine, and wellness.

nice to have

  • knowledge of Matlab and previous experience with analysis of bio-signals (ECG, EEG, PPG).

we offer

  • Opportunity to co-create meaningful technology and products that improve people’s lives.
  • Culture of ownership, openness and trust.
  • Working with professionals in a small dream team.
  • The most effective and proven cooperation methodologies and tools.
  • Freedom and flexibility working remotely or on-site in Wroclaw, Poland.
  • Unlimited, paid vacation time.
  • Private healthcare.
  • Work equipment and tools of your choice.
  • Competitive and fair salary depending on skills and experience.