Data Scientist II - Computer Vision

📋 Description

• Develop ML models for document verification (classification, quality, extraction, fraud).
• Implement and evaluate CNNs and transformer-based vision or multimodal models.
• Own end-to-end ML pipelines: data prep, training, evaluation, deployment.
• Perform error analysis and model diagnostics; optimize performance.
• Contribute to design discussions, code reviews, and modeling best practices.
• Write production-quality code and contribute to ML tooling and infrastructure.

🎯 Requirements

• Bachelor's in CS/Engineering/Data Science; 5+ years ML experience; MS/PhD a plus.
• Strong Python skills with PyTorch or TensorFlow.
• Deep learning in computer vision; CNNs and transformers.
• Model evaluation, experimentation, and ML fundamentals.
• Git, experiment tracking, and reproducible ML workflows.
• Clear communicator; works well in a cross-functional team.

🎁 Benefits

• Equity in compensation package.
• Bonus eligibility.