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  • Deep Learning Engineer (Biosignals)
    New
    AI/ML

    Deep Learning Engineer (Biosignals)

    3 771 - 5 531 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      Python

      master

      Pandas

      advanced

      PyTorch

      regular

      Data analysis

      regular

      SciPy

      regular

      NumPy

      regular

      Scikit

      regular

      Biosignal analysis

      regular

      C++

      nice to have

      data mining

      nice to have

    Job description

    Online interview

    At Shen.AI (formerly MX Labs) we deliver digital, smartphone accessible health & wellness diagnostic tools that run locally on your mobile device. Based on 60 second video scan of human face, we extract over 25 health markers, such as Heart Rate, HRV, Blood Pressure, Stress Level and more. See the demo at https://demo.shen.ai/


    The Shen.AI platform combines state-of-the-art computer vision and advanced vital signs processing with the power of AI for health and wellness monitoring. It provides real or near real-time display of health metrics, biofeedback, and preliminary diagnosis with recommended follow-up steps. 


    As a Deep Learning Engineer you will support our team by exploring data preparation pipelines and developing&testing training methodologies, ensuring the highest quality of the input delivered to our models.


    Accountabilities:

    • Develop deep learning models for biosignal analysis.
    • Conduct research on deep learning architectures for biomedical signals.
    • Provide feedback to data collection teams regarding experimental setups and procedures.
    • Perform exploratory data analysis, create visualizations and share data-informed insights with the team
    • Process, clean, and prepare biosignal data.
    • Generate synthetic data
    • Monitor data quality and automate invalid data labeling.
    • Identify and fix issues in data processing pipelines.


    Requirements:

    • MSc / PhD in Computer Science, Mathematics, Biomedical Engineering or similar.
    • Strong knowledge of SOTA machine learning trends, new architectures and signal processing methods.
    • Experience with biosignal analysis (ECG, EEG, PPG or similar).
    • 3+ years of experience with data analysis and neural networks.
    • Proficiency in Python and scientific libraries (Scikit-learn, Scipy, Numpy, Pandas and MatplotLib).
    • Experience with PyTorch/Tensorflow.
    • Interest in human physiology, medicine, and wellness.


    Nice to Have:

    • Previous c++ experience
    • knowledge of Computer Vision domain 
    • Data mining experience


    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.

    Apply for this job

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    Informujemy, że administratorem danych jest MX Labs OÜ z siedzibą w Estonii, ul. Lõõtsa tn 5, 11415 Tallinn, (dalej jako...more

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