Data Scientist II - Computer Vision

• Develop, maintain, and improve machine learning models for document verification use cases
• Independently implement and evaluate deep learning architectures
• Own well-defined components of end-to-end ML pipelines
• Perform in-depth error analysis, model diagnostics, and performance optimization
• Contribute to technical design discussions, code reviews, and modeling best practices
• Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure
• Collaborate with engineering and product partners to ensure models meet requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience
• 5 years or equivalent of professional experience in machine learning or data science
• Strong proficiency in Python
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow
• Solid experience applying deep learning models (especially CNNs) in real-world computer vision systems
• Working knowledge of transformer-based approaches
• Strong understanding of model evaluation, experimentation, and ML fundamentals
• Experience with version control (Git), experiment tracking, and reproducible ML workflows
• Ability to communicate technical ideas clearly and work effectively in a cross-functional team

MS or Ph.D is a plus

• Offers Equity
• Offers Bonus