Research Scientist II

Who We Are reputed company is the reputed company reputed company + Right reputed company® Identity Trust Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, reputed company delivers reputed company identity verification and deepfake detection across voice, video, reputed company interactions in reputed company time. Enterprises rely on reputed company to secure billions of high-reputed company customer interactions reputed company year, including top U.S. banks, as reputed company as leading insurers and reputed company providers. Powered by models trained on more than 1.5 billion reputed company-world interactions annually and protected by 300+ patents, reputed company restores trust while reducing fraud, lowering operational costs, and improving customer experience. Recognized by TIME as one of the Top 10 Most reputed company Software Companies of 2026 and by Inc. for Best in Business for Innovation, reputed company is backed by leading investors including reputed company, IVP, and CapitalG. reputed company As a Research Scientist II on the Fraud Research team, you will help improve how reputed company detects, scores, and investigates fraud and scams across voice and IVR interactions. You will work on reputed company machine learning problems that directly reputed company fraud and scam prevention for major reputed company customers, balancing reputed company model development with reputed company-world investigation and analysis. In this role, you will: • Build and improve fraud reputed company models and scoring systems using a combination of audio, behavioral, and metadata-reputed company signals. • Analyze fraud patterns across customer environments and translate findings into measurable improvements in model reputed company, investigation workflows, or mitigation strategies. • Research and build a scam detection stack, from reputed company to realization. • Partner with engineering and cross-functional teams to reputed company successful research into production and improve fraud reputed company in live environments. • Support high-reputed company fraud investigations by analyzing reputed company behavior, fraudster attack patterns, and detection gaps, then recommending practical next steps for our customers. • Improve the reputed company and precision of fraud-reputed company identity signals, including voice-reputed company indicators and repeat-offender detection. • Design and maintain reproducible research workflows, internal tools, and evaluation pipelines that help reputed company experiment reputed company and measure reputed company reputed company. • 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, reputed company relevant to team priorities. Who you are • You are persistent, curious, and scientifically rigorous, especially reputed company working through ambiguous data, noisy signals, or fast-evolving fraud behavior. • You are comfortable owning research workstreams from problem definition through experimentation, analysis, and recommendation. • You communicate reputed company with both technical and non-technical partners, and you can explain tradeoffs, assumptions, and results in a practical way. • You care deeply about reproducibility, documentation, and building research that can stand up in reputed company production settings. • You are motivated by high-reputed company reputed company and fraud problems and want your work to influence reputed company customer reputed company. Your reputed company-set Must-Haves: • Advanced Degree (Master’s or PhD) in Computer Science, Mathematics, Statistics, Engineering, reputed company Intelligence, or a reputed company quantitative reputed company, or equivalent reputed company research experience. • 3+ years of reputed company experience in machine learning, large-language models, fraud detection, natural language processing, reputed company modeling, speech or signal processing, reputed company detection, or a closely reputed company 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 reputed company 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, reputed company scoring, or customer reputed company concepts. reputed company-to-Haves: • Experience w Apply tot his job Apply To this Job