Deep Learning Engineer
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.
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).
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.
Work equipment and tools of your choice.
Competitive and fair salary depending on skills and experience.
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