Pindrop is redefining trust in the digital age. Our patented voice, and video authentication, fraud detection, and deepfake detection technologies protect some of the world’s largest banks, insurers, retailers, and healthcare leaders. As AI-driven threats evolve in the form of synthetic voices, deepfakes, face swapping and more, our solutions stay ahead, helping ensure that the real human and the right human are recognized.
Pindrop is trusted by Fortune 500 enterprises to secure voice interactions, and with $100M ARR we’re entering our next phase of innovation and growth, backed by world-class investors including Andreessen Horowitz, IVP, and CapitalG.
We are seeking a curious, driven, and technically strong Research Engineer to support data preparation, experimentation, and model development across Pindrop’s audio and voice research initiatives. In this role, you will design and maintain datasets, build tooling for data augmentation and visualization, run experimental studies, and collaborate closely with researchers and engineers to advance model quality and performance.
This position sits at the intersection of research and applied engineering—helping transform cutting-edge ideas into production-ready innovations that protect millions of people.
Design, curate, and maintain datasets used for ML model training, including data collection, augmentation, organization, and storage.
Develop and maintain tools and pipelines for data collection, augmentation, analysis, and visualization.
Contribute to research packages used for training, evaluating, and validating machine learning models.
Conduct experimental studies across a variety of audio-processing tasks to assess accuracy, robustness, and model quality.
Participate actively in the research team’s activities, including recurring research reviews, experimental discussions, and code reviews.
Collaborate closely with researchers and engineering teams to integrate findings and improve research workflows.
A creative problem solver passionate about building impactful products grounded in research.
Enthusiastic about audio processing and excited to bridge the gap between research concepts and real-world applications.
Skilled at explaining complex topics clearly and building strong collaborative relationships across teams.
A self-starter who thrives in fast-paced, dynamic environments with evolving priorities.
Known for delivering high-quality work on time and driving projects to completion.
Resilient, optimistic, and comfortable navigating ambiguity.
Resourceful and eager to explore new tools, technologies, and methodologies.
Highly accountable—you follow through on commitments, under-promise, and over-deliver.
Adaptable and able to maintain perspective while shifting priorities.
Master’s degree or PhD in a quantitative field (Computer Science, Engineering, AI, Mathematics, etc.) or equivalent practical experience.
1+ years of professional experience as an ML or Research Engineer working in Deep Learning, preferably in Computer Vision, Pattern Recognition, Face Recognition, or broader Machine Learning.
Hands-on experience preparing datasets for ML training and evaluation.
Strong proficiency in Python.
Experience with ML frameworks such as TensorFlow, Keras, or PyTorch.
Experience working with audio or visual data and data collection workflows.
Experience with JavaScript, HTML, CSS, or React JS.
Knowledge of biometrics, authentication, fraud detection, or customer experience systems.
Experience communicating with internal/external customers about proof-of-concepts or technical findings.
You’ll work alongside world-class researchers and engineers on impactful problems, while enjoying team connection, supportive culture, and unlimited PTO.
Meet your team and colleagues through structured 1:1s.
Begin learning the product and research area through onboarding, training, and guided resources.
Understand team expectations.
Begin contributing to a research project defined with your manager.
Develop intermediate familiarity with Pindrop’s products and research initiatives.
Build strong working relationships across the team.
Begin independently executing against the research roadmap.
As part of Pindrop, you will directly influence research that shapes the future of voice authentication and security.
Competitive compensation, including equity for all employees
Unlimited Paid Time Off (PTO)
Remote-first culture
At Pindrop, our Core Values are fundamental beliefs at the center of all we do. They are our guiding principles that dictate our actions and behaviors. Our Values are deeply embedded into our culture in big and small ways and even help us decide right from wrong when the path forward is unclear. At Pindrop, we believe in taking accountability to make decisions and act in a way that reflects who we are. We truly believe making decisions and acting with our Core Values in mind will help us to achieve our goals and keep Pindrop a great place to work:
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.
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.
Pindrop Security is an American information security company that provides risk scoring for phone calls to detect fraud and authenticate callers.
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