Supervisely engineering teams are building unique OS / platform for Computer Vision. The key feature is
the customization on every level — from data management and labeling to Neural Network training and inference.
To achieve this ambitious goal we created App Engine and SDK that helps Python developers and data scientists
quickly and easy create web-based applications with interactive UIs without special frontend knowledge and then
integrate them into the Supervisely Ecosystem.
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
Coding mostly in Python, basic understanding of HTML and Vue.js is welcomed, but not required
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
Proactively solving technical challenges and fixing bugs
Contributing ideas and constructive feedback to our product development roadmap
Improving documentation, creating guides and tutorials for our developer portal
Collaborating with our Enterprise customers and Community Users to help them customize Supervisely platform by building Supervisely Apps
Creating tool for Computer Vision research: neural network inference, data processing, converters, import, export, statistics, filtering, interactive visualization
We are looking for:
1+ year in Python software development
Knowledge of major Python libraries like Numpy, Pandas, requests, sklearn, OpenCV
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 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 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
Sounds interesting?
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!