Research Scientist II (Fraud) (AI)

Location: Remote within the United States

Salary: $160,000–$185,000 USD base pay per year

Company

hirify.global provides an identity trust platform for real-time voice, video, and digital interaction verification, deepfake detection, and fraud prevention.

What you will do

• Build and improve fraud risk models and scoring systems using audio, behavioral, and metadata-based signals.
• Research and develop scam detection capabilities for voice and IVR interactions.
• Analyze fraud patterns, attack behavior, detection gaps, and system performance across customer environments.
• Translate research findings into model improvements, investigation workflows, mitigation strategies, and production solutions.
• Improve voice-based identity signals and repeat-offender detection.
• Design reproducible research workflows, internal tools, and evaluation pipelines while contributing to technical reviews and documentation.

Requirements

• Master’s degree or PhD in computer science, mathematics, statistics, engineering, artificial intelligence, or a related quantitative field, or equivalent applied research experience.
• At least 3 years of professional experience in machine learning, fraud detection, natural language processing, risk modeling, speech or signal processing, anomaly detection, or a related field.
• Strong Python skills and experience building research tooling, experimentation frameworks, or model evaluation workflows.
• Hands-on experience with PyTorch, TensorFlow, or Keras.
• Experience translating research findings into practical improvements in models, decision systems, or production-facing recommendations.
• Foundational knowledge of fraud, identity, consumer scams, authentication, risk scoring, or customer security.

Nice to have

• Experience with fraud or scam detection in voice, IVR, contact center, authentication, or trust and safety environments.
• Experience building or fine-tuning multimodal foundation models.
• Experience improving precision and recall in real-world detection systems, including thresholding, scoring, watchlists, or entity-resolution signals.
• Familiarity with telephony, carrier, device, account, behavioral, sequence, or event-based risk signals.
• Experience with LLM-enabled research workflows, retrieval systems, observability tools, or production-oriented languages such as C/C++ and Go.

Culture & Benefits

• Remote-first work environment with flexibility and autonomy.
• Regular team off-sites, company-wide events, and in-person gatherings.
• Unlimited paid time off, health and welfare plans, HSA contributions, vision and dental coverage.
• Paid parental leave, fertility and GLP-1 benefits, and family-support programs.
• Monthly phone and internet allowance, RSUs for employees, and an annual learning and development stipend.