Pindrop

4 weeks ago

Research Scientist II (Fraud)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Join Pindrop's Fraud Research team as a Research Scientist II to advance applied ML for fraud detection across voice and IVR, balancing core model development with real-world investigations and cross-functional collaboration to deliver production-ready fraud solutions for enterprise customers.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve fraud risk models and scoring systems using a combination of 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 for our customers.

Pay and Benefits

Salary: USD 160,000 - 185,000 annually

Equity and Bonus:Equity

Perks:Remote WorkHealth InsurancePaid LeaveRsusParental LeaveInternet Allowance

Key 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.

Experience:3+ yearsFraud detectionVoice/IVRMachine learningNLP

Education:Master's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonPyTorchTensorFlowKeras

Company Brief

Pindrop

Provides voice security and fraud prevention solutions that analyze phone calls and voice interactions to detect fraud, authenticate callers, and protect contact centers using voice biometrics, machine learning, and risk-scoring telemetry.

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: Atlanta, United States

Founded: 2011

Website LinkedIn

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Pindrop

4 weeks ago

Research Scientist II (Fraud)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and improve fraud risk models and scoring systems using a combination of 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 for our customers.

Pay and Benefits

Salary: USD 160,000 - 185,000 annually

Equity and Bonus:Equity

Perks:Remote WorkHealth InsurancePaid LeaveRsusParental LeaveInternet Allowance

Key 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.

Experience:3+ yearsFraud detectionVoice/IVRMachine learningNLP

Education:Master's

Skills:CommunicationProblem-solvingCollaboration

Languages:English

Tech Stack:PythonPyTorchTensorFlowKeras

Company Brief

Pindrop

Industry: Cybersecurity

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: Atlanta, United States

Founded: 2011

Website LinkedIn