Data Scientist

About the role

We are building a top data science team focused on computer vision and looking for a Data Scientist to develop, train and deploy state-of-the-art models for real-world tasks. The role is fully remote and involves creating data pipelines, integrating neural networks into the Supervisely platform and contributing to cutting-edge research.

Key responsibilities

• Design, implement and maintain data pipelines for images, videos, 3D point clouds and medical volumetric data.
• Train, test, debug and deploy deep learning models for segmentation, detection, classification and related computer-vision tasks.
• Integrate models into Supervisely apps and publish them for the broader ML community.
• Experiment with recent research papers, SOTA models and AI-assisted labeling tools.
• Collaborate with enterprise customers to build customized data and model pipelines.
• Contribute to documentation, tutorials, tech videos and blog posts.

Required profile

• Strong background in machine learning and computer vision.
• Experience handling the full model lifecycle from data preparation to deployment.
• Ability to work independently in a remote environment and solve technical challenges proactively.

Required skills

• Python programming.
• Machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Understanding of computer-vision concepts and models.
• Experience with data labeling, data pipelines and model training/inference.
• Basic knowledge of HTML and Vue.js (optional).
• Version control with Git/GitHub.