Data Scientist

Data Science
Remote
July 20, 2026
Full Time
Application ends: October 19, 2026
Apply Now

Job Description

About Supervisely

You can think of Supervisely as an Operating System available via Web Browser to help you solve Computer Vision tasks. The idea is to unify all the relevant tools within a single Ecosystem of apps, tools, UI widgets and services that may be needed to make the AI development process as smooth and fast as possible.

More Concretely, Supervisely Includes The Following Functionality

  • Data labeling for images, videos, 3D point clouds and volumetric medical images (DICOM)
  • Data visualization and quality control
  • State-Of-The-Art Deep Learning models for segmentation, detection, classification and other tasks
  • Interactive tools for model performance analysis
  • Specialized Deep Learning models to speed up data labeling (aka AI-assisted labeling)
  • Synthetic data generation tools
  • Instruments to make it easier to collaborate for data scientists, data labelers, domain experts and software engineers

Watch video about Supervisely’s main principles from our CEO Yuri Borisov:

Learn More Here

  • Try Community Edition
  • Explore apps in Supervisely Ecosystem
  • Find technical details in our Developer portal

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

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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