Engineering Intern-DocV & Device

TL;DR

Engineering Intern-DocV & Device (Fraud Detection): Exploring behavioral and device signals such as interaction timing, motion data, and environmental context to strengthen fraud detection in DocV and RiskOS with an accent on data instrumentation, signal analysis, feature engineering, and detection prototyping. Focus on building prototypes, analyzing impact on decisioning accuracy, and integrating into workflows.

Remote (US)

$25 – $32 per hour $30 – $50 per hour

Company

hirify.global is building the identity trust infrastructure for the digital economy — verifying good identities in real time and stopping fraud before it starts.

What you will do

• Instrument code to collect behavioral and device signals and deliver a clean, structured dataset.
• Analyze data, engineer features, and deliver analysis showing signal impact.
• Develop detection or scoring logic and deliver a working proof-of-concept with metrics.
• Map integration points into DocV and RiskOS workflows and document findings with technical documentation and presentation.

Requirements

• 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.

Culture & Benefits

• High level of responsibility on complex problems with real-world impact.
• Work with a team that moves fast, thinks critically, acts like owners, and solves customer problems with precision.
• Equal opportunity employer valuing diversity.