Remote Research Scientist II - Fraud ML at Pindrop — Columbus

Who We Are

Pindrop is the Real Human + Right Human® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time.

Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including top U.S. banks, as well as leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience.

Recognized by TIME as one of the Top 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG.

What You'll Do

As a Research Scientist II on the Fraud Research team, you will help improve how Pindrop detects, scores, and investigates fraud and scams across voice and IVR interactions. You will work on applied machine learning problems that directly impact fraud and scam prevention for major enterprise customers, balancing core model development with real-world investigation and analysis.

• 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.
• 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 that help the team experiment efficiently and measure impact clearly.
• Contribute to technical reviews, knowledge sharing, and research documentation that helps the broader organization understand and apply your work.
• Contribute to adjacent innovation areas, including emerging AI-assisted fraud-analysis workflows, when relevant to team priorities.

Who You Are

• Persistent, curious, and scientifically rigorous — especially when working through ambiguous data, noisy signals, or fast-evolving fraud behavior.
• Comfortable owning research workstreams from problem definition through experimentation, analysis, and recommendation.
• Able to communicate clearly with both technical and non-technical partners, explaining tradeoffs, assumptions, and results in a practical way.
• Deeply committed to reproducibility, documentation, and building research that holds up in real production settings.
• Motivated by high-impact security and fraud problems and want your work to influence real customer outcomes.

Your Skill-Set

Must-Haves:

• 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 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.

What's in It for You

This is a high-impact opportunity to join Pindrop's Research organization and work on fraud problems that matter in the real world. Your work will directly influence how we detect fraud, investigate suspicious behavior, and improve protection for major financial institutions and other enterprise customers.

You'll collaborate closely with strong technical peers across research and engineering, work on meaningful applied machine learning challenges, and help shape the next generation of fraud detection capabilities at Pindrop.

What We Offer

• Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success.
• Remote-first environment — giving you flexibility and autonomy in how you structure your day.
• Regular team on-sites, company-wide events, and intentional gatherings that foster connection, collaboration, and shared success.
• Unlimited Paid Time Off (PTO)
• Generous health and welfare plans to choose from — including one employer-paid "employee-only" plan.
• Best-in-class Health Savings Account (HSA) employer contribution.
• Low-cost vision and dental plans for you and your family.
• Paid Parental Leave — including birth, adoptive, and foster parents.
• One year of diaper delivery for your newest addition to the family.
• Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work.
• Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs.
• Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education.

This position will be posted for 60 days after 6/26/26.
#LI-Remote

Please note that the base pay range is a general guideline only. Pindrop considers factors such as (but not limited to) scope and responsibilities of the position, a candidate's work experience, education/training, and key skills, as well as market and business considerations, when extending an offer.

US Base Pay Range: $160,000 — $185,000 USD

Not Sure If This Is You?

We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you're not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time.

AI — A Transformative Force

At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners, and society — enabling us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine.

Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed.

Pindrop is an Equal Opportunity Employer

Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.