Job description

Who We Are Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Powered by the Pindrop Intelligence Network, our unified trust platform helps enterprises answer three critical questions: Is this identity synthetic? Detect AI-generated and manipulated voice and video. Is this identity risky? Identify fraud, suspicious behavior, and other risk signals. Is this identity known? Authenticate identities using voice, device, behavioral, and other signals. Pindrop brings this intelligence together across purpose-built trust engines to help organizations make informed decisions in real time — protecting customers, workforce interactions, and emerging AI-driven interactions. Pindrop protects billions of high-risk interactions for enterprises, including leading financial institutions, insurers, and healthcare organizations. Its technology is informed by more than 8 billion real-world interactions annually and protected by 300+ patents. Recognized by TIME as one of the 10 Most Influential Software Companies of 2026 and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG. What you’ll do Depending on your level and domain expertise, as a Pindrop Research Scientist, you will drive core research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions. You may: Conduct research to develop new functionalities and improve existing technologies across our core domains (Fraud, Voice/Speech, Video, Authentication, and Deepfake Detection). Design, implement, and evaluate deep learning algorithms and ML models tailored to complex datasets. Partner closely with research engineers and engineering teams to transition complex research prototypes into efficient, production-ready systems across cloud or edge environments. Support targeted investigations by analyzing system behavior, identifying detection gaps, and recommending practical improvements for our customers. Participate in cross-functional team meetings, contribute to regular research and code reviews, and publish patents and peer-reviewed papers in top conferences. Who you are You remain focused, persistent, and scientifically rigorous through multiple experimental iterations, navigating ambiguity in research data, quality, or shifting methodologies. You seamlessly bridge the gap between research and engineering teams. You can explain complex AI/ML concepts with clarity to both technical and non-technical stakeholders. You take individual ownership of assigned research projects and workstreams, making sound technical decisions using available data, theory, and rigorous experimental evidence. You follow through on your commitments, communicate research progress transparently, and maintain the highest standard of technical integrity, documentation, and model reproducibility. You use machine learning frameworks effectively to design, train, and evaluate models, carefully validating outputs and applying sound judgment to balance experimentation speed with robustness, compliance, and model quality. Your skill-set Because this is a general pipeline for all levels, we welcome candidates with a variety of backgrounds. The qualifications we look for across our teams include: Degree (Master’s or PhD) in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial Intelligence) or equivalent industry research experience. We hire across all levels—from early-career researchers (1-3 years) to highly tenured Senior/Principal Research Scientists (6+ years) focused on deep learning, computer vision, face recognition, generative AI, speech processing, or fraud modeling. Strong programming proficiency in Python and hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras. A proven track record of successful project delivery, publishing peer-reviewed research, or translating research findings into practical improvements (models, decision systems, or production recommendations). Foundational or expert-level knowledge of biometrics, identity authentication, fraud patterns, audio/video pipelines, or consumer security concepts. What’s in it for you At Pindrop, research sits at the intersection of AI, voice, fraud, identity, and customer experience. You’ll turn real-world interaction data into insights that influence how our products evolve and how we help enterprises make better decisions. Build expertise in an emerging category: Develop firsthand knowledge of voice intelligence, fraud prevention, authentication, and deepfake detection as these fields continue to evolve. Work with real-world data at meaningful scale: Analyze complex calls, interactions, and behavioral patterns to identify trends, anomalies, and opportunities that matter to customers. Learn from experienced research and cross-functional teams: Partner with Research, Product, Engineering, Fraud Strategy, and Customer Experience leaders to understand how insights become better products and decisions. Strengthen your research and analytical judgment: Develop your ability to identify patterns, evaluate evidence, ask sharper questions, and translate qualitative observations into clear recommendations. See your work influence real outcomes: Your findings will help improve product quality, fraud detection, customer experiences, analyst performance, and the way Pindrop protects high-risk interactions. Grow into a broader research professional: Build the communication, critical-thinking, problem-solving, and stakeholder-management skills needed to take on increasing ownership and more complex research questions. For more senior research roles, you will shift your emphasis toward owning the research agenda, shaping product and business strategy, influencing executive decisions, mentoring others, and defining how Pindrop creates differentiated insight. What we offer As a part of Pindrop, you’ll have a direct impact on our growing list of products and the future of security in the voice-driven economy. We hire great people and take care of them. Here’s a snapshot of the benefits we offer: Competitive compensation package, including RSUs (Restricted Stock Units) for all employees, so everyone shares in our long-term success. Remote-first environment - giving you flexibility and autonomy in how you structure your day. While we work flexibly, we prioritize meaningful in-person moments through regular team on-sites, company-wide events, and intentional gatherings that foster connection, collaboration, and shared success. Unlimited Paid Time Off (PTO) Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan! Best-in-class Health Savings Account (HSA) employer contribution Low-cost vision and dental plans for you and your family, providing comprehensive coverage and peace of mind. Paid Parental Leave - Including birth, adoptive & foster parents One year of diaper delivery for your newest addition to the family! It’s our way of welcoming new Pindroplets to the family! Recurring monthly phone and internet allowance to help cover essential connectivity costs and support flexible work. Enhanced fertility and GLP-1 benefits to support family-building journeys and personalized health needs. Annual Learning & Development stipend to support your professional growth, skill-building, certifications, and continued education. #LI-Remote #LI-HB1 Not sure if this is you? We want a diverse, global team, with a broad range of experience and perspectives. If this job sounds great, but you’re not sure if you qualify, apply anyway! We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. AI - A Transformative Force At Pindrop, we view artificial intelligence as a transformative force that, when harnessed responsibly, can unlock unprecedented value for our customers, partners and society and enable and empower us to continue to deliver cutting-edge technology to combat fraud and unblur the lines between what it means to be human versus machine. Pindrop may use AI tools to help prioritize job applications for human review. The AI tool may analyze your work experience and skills to assess fit for the role, but does not consider your name or contact details. Applications with the strongest match to job requirements are prioritized for human review; not all applications may be individually reviewed. Pindrop is an Equal Opportunity Employer Here at Pindrop, it is our mission to create and maintain a diverse and inclusive work environment. As an equal opportunity employer, all qualified applicants receive consideration for employment without regard to race, color, age, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetic information, disability, marital and/or veteran status.

Requirements

Must-haves

You remain focused, persistent, and scientifically rigorous through multiple experimental iterations, navigating ambiguity in research data, quality, or shifting methodologies.
You seamlessly bridge the gap between research and engineering teams. You can explain complex AI/ML concepts with clarity to both technical and non-technical stakeholders.
You take individual ownership of assigned research projects and workstreams, making sound technical decisions using available data, theory, and rigorous experimental evidence.
You follow through on your commitments, communicate research progress transparently, and maintain the highest standard of technical integrity, documentation, and model reproducibility.
Your skill-set
Because this is a general pipeline for all levels, we welcome candidates with a variety of backgrounds. The qualifications we look for across our teams include:
Degree (Master’s or PhD) in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial Intelligence) or equivalent industry research experience.
Strong programming proficiency in Python and hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
A proven track record of successful project delivery, publishing peer-reviewed research, or translating research findings into practical improvements (models, decision systems, or production recommendations).
Foundational or expert-level knowledge of biometrics, identity authentication, fraud patterns, audio/video pipelines, or consumer security concepts.
What’s in it for you
Build expertise in an emerging category: Develop firsthand knowledge of voice intelligence, fraud prevention, authentication, and deepfake detection as these fields continue to evolve.
Work with real-world data at meaningful scale: Analyze complex calls, interactions, and behavioral patterns to identify trends, anomalies, and opportunities that matter to customers.
Learn from experienced research and cross-functional teams: Partner with Research, Product, Engineering, Fraud Strategy, and Customer Experience leaders to understand how insights become better products and decisions.
Strengthen your research and analytical judgment: Develop your ability to identify patterns, evaluate evidence, ask sharper questions, and translate qualitative observations into clear recommendations.
See your work influence real outcomes: Your findings will help improve product quality, fraud detection, customer experiences, analyst performance, and the way Pindrop protects high-risk interactions.
Grow into a broader research professional: Build the communication, critical-thinking, problem-solving, and stakeholder-management skills needed to take on increasing ownership and more complex research questions.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Pto

Paid Time Off

Parental Leave