Data Scientist

September 7, 2026
Application ends: December 6, 2026
Apply Now

Job Description

Your Daily Adventures Will Include

  • Creating Supervisely Apps, main areas include development of Data Pipelines for different modalities (images, videos, 3D point clouds from LiDAR, medical volumetric data from CT/ MRI DICOMs) and Machine Learning models infrastructure
  • Working with top github repositories with state-of-the-art models, train, test, deploy and integrate them into Supervisely
  • Coding mostly in Python, basic understanding of HTML and Vue.js is welcomed, but not required
  • Handling the entire model lifecycle: data preparation, training, inference, model debugging, comparison, deployment. Building special ML tools for work automation and publish them in our Ecosystem
  • Experiment with modern research, explore SOTA papers and conferences
  • Proactively solving technical challenges and fixing bugs
  • Contributing ideas and constructive feedback to our product development roadmap
  • Sharing your knowledge with community developers by creating tech videos, blog posts and promoting appropriate tech and engineering best practices in and outside of the team
  • Collaborating with Enterprise customers to help with integration and building customized data and model pipelines
  • Improving documentation, creating guides and tutorials for our developer portal

We Are Looking For

  • Industry experience in data science and machine learning (1+ years recommended)
  • Knowledge of major Python libraries like Pytorch, Tensorflow, Numpy, Pandas, requests, sklearn, OpenCV
  • Solid understanding of modern developer tools: docker, git, github, vscode, venv
  • Good principles towards writing clean, simple and maintainable code
  • Good verbal and written communication skills in English
  • Leveraging our in-house data and model platform that allow you to perform experiments in a matter of days

You Will Get Extra Credits For

  • Participating and winning Kaggle competitions
  • Knowledge of modern ML infrastructure tools
  • Experience in organizing dataset creation from scratch, experimentation with GANs or synthetic data
  • Experience in building client-server apps using FastApi, Flask, Uvicorn or others
  • Development of your own Python library / repository or participating and contributing in a popular one
  • Familiarity with any cloud systems (AWS, Azure, Google Cloud)
  • University degree in a technical subject (Computer science, Mathematics, or similar) or equivalent experience in the industry
  • Experience creating tutorials, videos or technical blog posts, publications
  • Experience in building your own startup or product

Are you interested in this position?
Apply by clicking on the ā€œApply Nowā€ button below!
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