Job Description
- 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
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