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Senior Data Scientist - Computer Vision

Socure

Carson City, Nevada, United States Remote permanent

Posted: March 22, 2026

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Quick Summary

Socure is building the identity trust infrastructure for the digital economy, verifying 100% of good identities in real time and stopping fraud before it starts. The company hires people who want to solve complex problems with precision, moving fast and acting like owners. If you want predictability or narrow scope, this won't be your place.

Job Description

Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About the Role

We are seeking a Senior Data Scientist with deep expertise in computer vision and machine learning to join our document verification team. This role focuses on building and owning ML systems that analyze identity and document images at scale, combining hands-on technical leadership with direct customer engagement. You will act as both a technical owner, a trusted advisor, and a story teller, helping customers understand and adopt our document verification solutions.

What You'll Do

• 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.

What You Bring

• 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.

Nice to Have

• Master’s or Ph.D. in Computer Science, Machine Learning, Computer Vision, or a related field.

• Experience with document verification, OCR, identity, fraud detection, or image forensics.

• Exposure to transformer-based vision models, multimodal systems, or LLMs.

• Experience working with enterprise customers or in regulated environments.

Please note, we are unable to provide employer support for H1, F1, or OPT visas now or in the future.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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