Having a strong toolbox for processing and visualizing medical volumetric data from CT/ MRI imaging is an essential step
in various medical applications that ranges from simple tumor identification to the assessment of tumor response and
treatments in clinical oncology. Nowadays, the application of computer vision technologies
in medical imaging has attracted extensive attention.
We at Supervisely are building python toolkit for visualizing and processing 2D and 3D medical images,
including Neural Networks support. We believe that AI-base approaches and well-designed research infrastructure
are game changers in medicine. Most of our developments are open-sourced and shared with the ML community.
Our goal is to build the best tools for medical images that will help engineers and data scientists to significantly speed up
development in this field.
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
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
Good verbal and written communication skills in English
You will get extra credits for:
Experience in Medical Processing libraries like itk, sitk, pydicom
Experience in neural networks and other algorithms for volumetric data, e.g. interpolation
Understanding of popular data formats
Development of your own Python library / repository or participating and contributing in a popular one
Familiarity with any cloud systems (AWS, Azure, Google app engine)
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
Experience in building your own startup or product
Why you’ll love it here:
Play a direct role in shaping the future of building Computer Vision solutions
Working on Supervisely App Engine - the new way of building python single page web applications that can be also used outside Supervisely
Accelerate your professional growth by solving challenging development tasks
Contribution to open-course: Supervisely Python SDK and all Apps in our Ecosystem are open-sourced
Impact and work with our growing community of 65k+ companies, researchers and developers worldwide
Work closely and solve real tasks with our customers — leading companies in various industries like autonomous vehicles, agriculture, medicine and manufacturing
Intensive knowledge sharing with our extremely talented web-development team
Apply for the role now! We kindly ask you to complete this Google Form to continue. Please make sure to answer all the questions provided to help us better understand you — and we will get back in time!