Tech Stack

Description

You will drive semantic document parsing for customer use cases, improve end-to-end quality of computer vision systems, and mentor team members. You'll work on evolving our product by adding new features and optimizing existing offerings, solving real-world challenges in label and document capture.

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 ML frameworks (PyTorch, JAX, TensorFlow)
• Skilled in software design, problem-solving, and debugging

Responsibilities

• Drive and solve semantic document parsing for customer use cases
• Be involved in end-to-end quality improvements (metrics, prototyping, testing, model integration/creation, data collection, analysis, debugging)
• 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