Tech Stack

Description

You will evolve the Label Capture product by adding new features and optimizing existing offerings, working on computer vision and deep learning algorithms to extract information from printed documents beyond state of the art.

Requirements

• 5+ years of experience solving recognition problems in industry with launched products
• Fluency in C++ and Python
• Experience running ML models on mobile devices
• Experience with relevant machine learning frameworks (PyTorch, Jax, TensorFlow)
• Skilled in software design, problem-solving, and debugging

Responsibilities

• Drive and solve semantic document parsing for customer use cases
• Involvement in all phases of end-to-end quality improvements
• Stay up to date with latest research in document classification, text recognition and information extraction
• Set direction and identify opportunities to push boundaries of recognition
• Mentor team members on code quality and engineering practices