Remote ML Research Scientist: Identity, Fraud & Deepfake

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

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.