Research Scientist

Role overview Advance research in machine learning for identity, authentication, fraud detection, speech, video, and synthetic media detection. The work spans rigorous experimentation and practical product impact: you will develop and evaluate models, investigate system gaps, and partner with engineering teams to move promising research into production. The opening covers multiple experience levels and research specialties.

Responsibilities - Research new capabilities and improve existing approaches across voice, speech, video, biometrics, authentication, fraud, and deepfake detection. - Design, implement, and evaluate deep learning methods for complex datasets, documenting reproducible experiments. - Collaborate with research engineers and software teams to turn prototypes into efficient systems for cloud or edge environments. - Investigate system behavior and detection gaps, then recommend practical improvements. - Contribute to cross-functional discussions, code and research reviews, and, where appropriate, patents and peer-reviewed publications.

Requirements - A master's or doctoral degree in a quantitative discipline, or equivalent industry research experience. - Strong Python skills and practical experience with a modern machine learning framework such as PyTorch, TensorFlow, or Keras. - Research experience in areas such as deep learning, computer vision, face recognition, generative AI, speech processing, or fraud modeling. - Evidence of delivering research projects, publishing peer-reviewed work, or translating findings into models, decision systems, or production recommendations. - Scientific rigor, sound technical judgment, clear communication with technical and non-technical partners, and care for reproducibility and documentation. - Opportunities span early-career researchers with roughly 1–3 years of experience through senior and principal researchers with 6 or more years.

Benefits and work setup - Remote-first work with team gatherings, company events, and planned in-person collaboration. - Benefits include equity awards, flexible paid time off, health coverage, an employer HSA contribution, paid parental leave, monthly phone and internet support, and an annual learning and development stipend.