🛠 Tech Stack

💼 About This Role

You'll join the document verification team to build ML systems that analyze identity images at scale. You'll own modeling initiatives from development through production deployment, driving improvements in fraud detection and accuracy. This role offers high impact in a fast-paced environment solving identity fraud with production computer vision systems.

🎯 What You'll Do

• Develop and maintain ML models for document verification tasks.
• Implement deep learning architectures like CNNs and transformers.
• Own end-to-end ML pipelines from data prep to deployment.
• Perform error analysis and model performance optimization.

📋 Requirements

• 5 years of professional experience in machine learning or data science.
• Strong proficiency in Python and PyTorch or TensorFlow.
• Solid experience applying CNNs in real-world computer vision systems.
• Experience with version control (Git) and reproducible ML workflows.

✨ Nice to Have

• MS or PhD in a related field.
• Working knowledge of transformer-based approaches.
• Experience with experiment tracking tools.

🎁 Benefits & Perks

• 💰 Competitive salary with equity and bonus.
• 🏖️ Remote-first culture.
• 📈 Stock options.
• 🏥 Health benefits included.
• 🚀 High-impact work in identity verification.

🚩 Heads Up

• Uses 'Data Scientist II' title but requires 5+ years experience, leaning senior.
• No visa sponsorship even for OPT/F1.