Job Description:
• Design, develop, and own advanced deep learning models, including CNNs and transformer-based vision or multimodal architectures, for document verification use cases such as document classification, fraud detection, image quality assessment, field extraction, and authenticity checks.
• Own ML solutions end to end, from data analysis and model training to deployment, monitoring, and continuous improvement in production.
• Act as a technical point of contact for customers, leading technical deep dives, explaining model behavior, performance metrics, and tradeoffs, and supporting customer evaluations or escalations.
• Translate customer, regulatory, and business requirements into clear modeling objectives, and communicate results effectively to both technical and non-technical stakeholders.
• Partner closely with engineering and product teams to deliver scalable, reliable document verification systems.
Requirements:
• Bachelor’s degree in Computer Science or a related field, or equivalent experience
• 8+ years or equivalent professional experience and significant hands-on work in computer vision
• Proven experience designing, building, and maintaining production machine learning systems
• Excellent written and verbal communication skills, including experience in customer-facing technical roles
• Adept at translating technical details into business facing descriptions, focused on not only the “what” but the “why”
• Ability to balance technical rigor with customer, business, and compliance needs.
Benefits:
• Offers Equity
• Offers Bonus