Research Scientist

pindropsecurity; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity awards

Flexible PTO

Health coverage

HSA contribution

Parental leave

Phone stipend

Internet stipend

Learning stipend

Job summary

Pindrop Security is a leading research-focused company exploring machine learning for identity, authentication, fraud detection, speech, video, and synthetic media detection. The role spans rigorous experimentation and practical product impact across multiple specialties.

You will develop and evaluate models, investigate system gaps, and work with engineering teams to move promising research into production, emphasizing reproducibility and clear documentation.

Qualifications

• Master's or PhD in a quantitative discipline or equivalent research experience.
• Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or Keras).
• Experience delivering research projects and translating findings into models or production scenarios.

Responsibilities

• Research new capabilities and improve approaches across voice, speech, video, biometrics, authentication, fraud, and deepfake detection.
• Design, implement, and evaluate deep learning methods for complex datasets with reproducible experiments.
• Collaborate with research engineers and software teams to deploy prototypes to cloud or edge environments.
• Investigate system behavior and detection gaps, recommending practical improvements.
• Contribute to cross-functional discussions, code and research reviews, and patents or publications where applicable.

Skills

Python

PyTorch / TensorFlow / Keras

Research experience

Scientific writing

Education

Master's or PhD in a quantitative discipline

Job description

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.