Accountabilities:

• Reviewing state-of-the-art machine learning & deep learning technologies for analysis of biosignals.
• Writing robust data pipelines for:
  • feature engineering and data modelling
  • model hyperparameter optimization
  • model evaluation and explainability
  • model training, deployment and automated retraining
  • model version tracking & governance
  • data archival & version management
  • model and drift monitoring
• Improving readability and efficiency of the code.
• Writing documentation, tests and visualizations whenever necessary. 

Requirements:

• MSc or (preferably) PhD in Computer Science, Mathematics, Statistics, Bioinformatics, Biostatistics, Computational Neuroscience or similar.
• In-depth knowledge of statistics and machine learning concepts. Expertise in signal processing and deep learning is also strongly recommended.
• Proven experience in machine learning projects, in particular, experience with predictive models based on time-series data from sensors.
• Good software engineering skills and the ability to productize models. 
• Proficiency in Python and knowledge of machine learning (scientific) libraries/frameworks such as Sklearn, Scipy, Numpy, Pandas, Tensorflow, Pytorch.
• Interest in human physiology, medicine, and wellness.
• Scientific track record, i.e. papers published in machine learning or similar - conferences.
• Participation in Kaggle.
• 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.
• Private healthcare.
• Multisport card.
• Work equipment and tools of your choice.
• Competitive and fair salary depending on skills and experience.