Computer Vision Engineer – Synthetic Data

Position Overview

We are looking for a Computer Vision Engineer with experience in synthetic data and domain gap challenges to join our team.

The role focuses on improving the quality and effectiveness of synthetic data used for training models, and developing tools and algorithms to evaluate and enhance data reliability.

Key Responsibilities

• Research and continuously improve the quality of synthetic data used for model training
• Develop metrics and automated validation tools to assess data relevance and reliability
• Design and implement algorithms to enhance data quality based on defined metrics
• Mandatory Requirements
• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field
• 3+ years of experience working with complex data, including synthetic data generation, analysis, or quality improvement
• Advantages
• Experience with 3D data
• Experience in both AI-based and classical computer vision
• Knowledge of photogrammetry
• Experience with C++
• Candidate Profile
• Ability to work independently on complex research challenges
• Strong team collaboration skills with a proactive mindset
• High level of curiosity and self-learning ability
• Strong commitment to project success