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This position was posted on March 24, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
Remote - US
Job Type
Full-time
Category
Data Science
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • Senior Data Scientist - Computer Vision role at Socure Inc. focused on building and owning ML systems for document verification, analyzing identity and document images at scale to support fraud prevention and identity trust infrastructure for the digital economy.
- • Design, develop, and own advanced deep learning models including CNNs and transformer-based vision or multimodal architectures for 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 environments.
- • 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.
- • Socure is building identity trust infrastructure for the digital economy, verifying 100% of good identities in real time and stopping fraud before it starts, with impact felt by businesses, governments, and millions of people daily.
- • The company hires people who move fast, think critically, act like owners, and care deeply about solving customer problems with precision, offering a high-bar environment for those wanting to build the future of identity.
- • This role combines hands-on technical leadership with direct customer engagement, requiring the individual to act as both a technical owner and a trusted advisor helping customers understand and adopt document verification solutions.
- • The position is remote within the US and requires 8+ years of professional experience with significant hands-on work in computer vision.
🎯 Requirements
- • Bachelor’s degree in Computer Science or a related field, or equivalent experience, with 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
- • Opportunity to work on impactful identity trust infrastructure used by businesses, governments, and millions of people daily.
- • Remote work flexibility within the United States.
- • High-autonomy environment where employees act like owners and move fast to solve complex problems.
- • Exposure to cutting-edge ML systems including transformer-based vision and multimodal architectures.
- • Collaboration with enterprise customers and regulated industries, providing real-world impact and technical growth.
- • Equal opportunity employer committed to diversity and inclusion, with accommodation support available during hiring process.
Skills & Technologies
About Socure Inc.
Socure Inc. provides digital identity verification and fraud prevention software for financial services, fintech, e-commerce and government clients. The platform applies machine learning and graph-based analytics to link and validate identity elements in real time, detecting synthetic identities, account takeover and document fraud. It integrates via APIs and SDKs for onboarding, KYC/AML compliance and transaction monitoring, aiming to reduce false positives and manual reviews while improving approval rates for legitimate users worldwide.
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