Engineering Intern-DocV & Device

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.

This internship offers a unique opportunity to work at the intersection of Document Verification (DocV), Digital Intelligence (DI), fraud detection, and behavioral analytics. The core focus is on exploring how behavioral and device signals—such as interaction timing, motion data, and environmental context—can be leveraged to better understand user sessions and strengthen fraud detection systems. The successful intern will evaluate, prototype, and demonstrate how these signals can improve decisioning accuracy, enhance system robustness, and be integrated into DocV and RiskOS workflows. You will not just observe; you will build, analyze, and deliver a portfolio-ready prototype that informs future detection and risk capabilities.

1. Data Instrumentation & Collection - Instrument code to collect behavioral and device signals. Deliver a clean, structured dataset.

2. Signal Analysis & Feature Engineering - Analyze data and engineer features. Deliver analysis showing signal impact.

3. Detection Prototyping - Develop detection or scoring logic. Deliver a working proof-of-concept with metrics.

4. Integration & Documentation - Map integration points and document findings. Deliver technical documentation and presentation.

Required:

• Pursuing a degree in Computer Science, Engineering, Data Science, or similar

• Experience in Go, Python, or Java

• Familiarity with data analysis or ML concepts

• Understanding of APIs and backend systems

• Ability to work through ambiguity and iterate quickly

• Strong communication skills

Nice to Have:

• Exposure to fraud, identity, or security domains

• Experience with behavioral or event-based data

• Familiarity with SQL, Spark, or large-scale data tools

• Experience with dashboards or data visualization

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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