Job Description
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
- Implementing apps to cover basic data operations: data exploration, visualizations, import, export, converters between different formats, filtering, etc.
- Working with popular data formats, like DICOM, NRRD, nifti, stl, etc…
- Adopting Supervisely platform for medicine domain by exploring and integrating best industry practices
- Coding mostly in Python, basic understanding of HTML and Vue.js is welcomed, but not required
- Creating tools for synthetic datasets generation
- Proactively solving technical challenges and fixing bugs
- Collaborating with our Enterprise customers and Community Users to help them customize Supervisely platform by building Supervisely Apps
- Contributing ideas and constructive feedback to our product development roadmap
- Improving documentation, creating guides and tutorials for our developer portal
We Are Looking For
- 2+ year in Python software development
- Experience in medical image processing or willingness to become an expert in it
- Knowledge of major Python libraries like Numpy, Pandas, requests, sklearn, OpenCV
- Good background in mathematics and linear algebra
- Good understanding of modern developer tools: docker, git, github, vscode, venv
- Strong principles towards writing clean, simple and maintainable code
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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