We are building a top data science team focused on computer vision
and are looking for exceptional people to work with us. You will enjoy an opportunity to
train and apply state-of-the-art models to various real world tasks, design custom training and inference pipelines,
integrate neural networks into Supervisely and share them with the entire ML community.
In addition, we are doing cutting-edge research in various directions, including labeling automation, AI-assisted tools to
speed up data annotation, synthetic datasets, human-in-the-loop, active learning, GANs, and many more.
Most common modality to work will be 3d Point clouds (separate ones and episodes) and sensor fusion (LiDAR, camera, radar, etc).
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
Creating Supervisely Apps, main areas include development of Data Pipelines for 3D modality 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, Open3D
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
Experience in 3d-NN frameworks like MMDetection3d
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
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!