Research Scientist

Pindrop

17d•Remote

About The Position

Pindrop is hiring Research Scientists across experience levels and research domains. The role centers on advancing research across fraud, voice and speech, video, authentication, and deepfake detection, producing reproducible experimental results, and helping translate machine learning research into practical product solutions. Scientists design, implement, and evaluate deep learning algorithms and machine learning models for complex datasets, collaborate with research and engineering teams to move prototypes into production-ready systems, and investigate system behavior and detection gaps to recommend improvements. The role also includes cross-functional collaboration, research and code reviews, and contributions to patents and peer-reviewed publications. More senior researchers may own the research agenda, shape product and business strategy, influence executive decisions, mentor others, and define differentiated research insights. The work requires scientific rigor, persistence through iterative research, ownership of projects, transparent communication, and careful documentation and reproducibility. Researchers use machine learning frameworks to build, train, and evaluate models while balancing experimentation speed with robustness, compliance, and quality. Pindrop describes a remote-first work environment with flexibility and autonomy, alongside regular team on-sites, company-wide events, and other in-person gatherings.

Requirements

Master’s or PhD degree in a quantitative field such as computer science, mathematics, engineering, or artificial intelligence, or equivalent industry research experience.
Experience ranging from 1–3 years for early-career researchers to 6+ years for Senior/Principal Research Scientists, depending on level.
Strong programming proficiency in Python.
Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
A track record of successful project delivery, peer-reviewed research publication, or translating research findings into practical improvements such as models, decision systems, or production recommendations.
Foundational or expert-level knowledge of biometrics, identity authentication, fraud patterns, audio/video pipelines, or consumer security concepts.
Scientific rigor and persistence through experimental iterations and ambiguity in research data, quality, or methodology.
Ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders.
Ability to take ownership of research projects and make sound technical decisions based on data, theory, and experimental evidence.
Commitment to transparent progress communication, technical integrity, documentation, and model reproducibility.
Ability to validate model outputs and balance experimentation speed with robustness, compliance, and model quality.

Responsibilities

Conduct research to develop new functionalities and improve technologies in fraud, voice/speech, video, authentication, and deepfake detection.
Design, implement, and evaluate deep learning algorithms and machine learning models for complex datasets.
Collaborate with research engineers and engineering teams to transition research prototypes into efficient, production-ready systems in cloud or edge environments.
Analyze system behavior, identify detection gaps, and recommend practical improvements for customers.
Participate in cross-functional meetings and regular research and code reviews.
Contribute to patents and peer-reviewed papers in top conferences.
For more senior roles, own the research agenda, shape product and business strategy, influence executive decisions, mentor others, and define differentiated research insights.

Benefits

Competitive compensation package, including RSUs for all employees.
Remote-first environment with flexibility and autonomy in structuring the workday.
Regular team on-sites, company-wide events, and intentional in-person gatherings.
Unlimited paid time off.
Health and welfare plans, including one employer-paid employee-only plan.
Employer contribution to a Health Savings Account.
Vision and dental plans for employees and their families.
Paid parental leave for birth, adoptive, and foster parents.
One year of diaper delivery for a new family addition.
Recurring monthly phone and internet allowance.
Enhanced fertility and GLP-1 benefits.
Annual Learning & Development stipend for professional growth, skills, certifications, and continued education.