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Machine learning engineer/researcher
Python

Machine learning engineer/researcher

Poznań
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Remote

Tech stack

    Job description

    At INTENEURAL, a US/Polish startup, we’re developing cutting edge machine learning based neuroscience diagnostics.

    We have an open position for a machine learning engineer/researcher. Looking for an interesting job in an international, multidisciplinary team? Why not contact us?  We don't need ninja level skills nor 20+ years of experience. If you're willing to work hard, you'll grow along with the company. The work is mostly remote, with flexible hours and moreover, really interesting :)

    What will you do?

    • conduct research and development on machine learning algorithms for medical applications;
    • model development, training and performance validation;
    • dataset management/analysis/annotation.

    What is required?

    • education: Bachelor’s, Master’s, or PhD degree in Computer Science, Biomedical engineering, Electrical and Computer Engineering, or any other related field;
    • theoretical concepts of Artificial Intelligence (AI), Machine Learning (ML), and Neural Networks (NN);
    • practical use of Deep Learning libraries (TensorFlow, Keras, or PyTorch);
    • practical knowledge on image processing;
    • advanced computer programming (Python);
    • advanced communication skills in English (spoken and written) (B2/C1 equivalent or above);
    • creativity and analytical skills.

    What isn’t required, but would be nice to have?

    • knowledge on domain-specific medical imaging processing and formats;
    • hands-on experience with speech recognition algorithms;
    • scientific Python stack (Pandas, NumPy, SciPy, scikit-learn, ...);
    • version control software (Git or equivalent);
    • hands-on experience with AWS services;
    • you’re currently residing in (or willing to relocate to) Poznań, Poland.

     Benefits:

    • actual influence on the product – you won’t be just a cog in the machine;
    • opportunity for personal growth;
    • collaboration with a dynamic and international multidisciplinary team;
    • flexible working hours.