Data Scientist

Job Description

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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