# Research Scientist II
**Company:** [Pindrop](https://hotfix.jobs/companies/pindrop)
**Location:** Remote
**Salary:** $160K-$185K
**Experience:** 3+ years
**Skills:** Python, PyTorch, TensorFlow, Keras, Machine Learning, LLMs, Natural Language Processing, Fraud Detection, Risk Modeling, Speech Processing, Signal Processing, Anomaly Detection
**Posted:** 2026-06-27
> Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.
## Job Description
## Responsibilities
- Build and improve fraud risk models and scoring systems using audio, behavioral, and metadata-based signals.
- Analyze fraud patterns across customer environments and translate findings into measurable improvements in model performance, investigation workflows, or mitigation strategies.
- Research and build a scam detection stack, from conception to realization.
- Partner with engineering and cross-functional teams to move successful research into production and improve fraud outcomes in live environments.
- Support high-priority fraud investigations by analyzing system behavior, fraudster attack patterns, and detection gaps, then recommending practical next steps.
- Improve the quality and precision of fraud-related identity signals, including voice-based indicators and repeat-offender detection.
- Design and maintain reproducible research workflows, internal tools, and evaluation pipelines.
- Contribute to technical reviews, knowledge sharing, and research documentation.
- Contribute to adjacent innovation areas, including emerging AI-assisted fraud-analysis workflows.

## Requirements
- Advanced Degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, or a related quantitative field, or equivalent applied research experience.
- 3+ years of professional experience in machine learning, large-language models, fraud detection, natural language processing, risk modeling, speech or signal processing, anomaly detection, or a closely related domain.
- Strong Python skills and experience building research tooling, experimentation frameworks, or model evaluation workflows.
- Hands-on experience with modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
- A track record of translating research findings into practical improvements, whether in models, decision systems, or production-facing recommendations.
- Foundational knowledge of fraud, identity, consumer scams, authentication, risk scoring, or customer security concepts.

## Nice-to-Haves
- Experience working on fraud or scam detection in voice, IVR, contact center, authentication, or adjacent trust and safety environments.
- Experience working on building and/or fine-tuning multi-modal foundation models.
- Experience improving precision and recall in real-world detection systems, including thresholding, scoring, watchlists, or entity-resolution style signals.
- Familiarity with metadata-driven risk signals such as telephony, carrier, device, account, or behavioral indicators.
- Experience with sequence modeling, event-based risk modeling, or other approaches used to detect evolving attack behavior.
- Familiarity with LLM-enabled research workflows, retrieval systems, or observability tools used to support analyst or fraud-investigation productivity.
- Working knowledge of C/C++, Go, or other production-oriented languages.
**Apply:** https://hotfix.jobs/jobs/research-scientist-ii-at-pindrop-4ac4da1a-a497-413d-b8fa-6b3b58cef7e1
**Canonical:** https://hotfix.jobs/jobs/research-scientist-ii-at-pindrop-4ac4da1a-a497-413d-b8fa-6b3b58cef7e1