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Junior Machine Learning Engineer

Who are we?

Our mission at Webiks is to create powerful, data-driven applications and models that help our clients innovate and grow.

What are you going to do?

As a Junior Machine Learning Engineer, you will join our Machine Learning and Data Science team. You will be developing and delivering complex Machine Learning and Deep Learning models while working closely with our Data Scientists, Data Product Managers, and Software Developers.

What’s this job about?

  • Reviewing and comparing Machine Learning and Deep Learning predictive and generative models (Computer Vision, Speech, Tabular Data, and more).
  • Fine-tuning Machine Learning models and reproducing reported results (Paper Without Code) - mostly in PyTorch.
  • Adjusting architectures and training routines.
  • Collaborating with Data Scientists, Data Product Managers and Developers to implement value-adding solutions.
  • Developing reproducible pipelines in Linux using Docker, Conda, Weights & Biases, etc.


  • To apply for this position please attach proof of participation in at least one Kaggle competition in the last two years in which you finished among the top 25%. When submitting your resume, please send a screenshot of the leaderboard as well as a brief explanation of up to 2 paragraphs of the technical approach you took in the competition. Applications that do not meet these requirements will not be submitted.
  • No former experience as a Machine Learning Engineer is mandatory for this position.
  • To be considered for this position, applicants must possess a relevant Bachelor's degree with finished projects in the Machine Learning and Deep Learning field.
  • A relevant Masters degree - a significant advantage.
  • Experience as a Software Engineer / Developer - a significant advantage.
  • Hands-on experience developing Machine Learning and Deep Learning models - a significant advantage.

Location: Tel Aviv (near Azrieli center). Full-time position. Apply for this job at: hr@webiks.com