Pindrop is redefining trust in the digital age by protecting against AI-driven threats like synthetic voices, deepfakes, and face swapping. The company is seeking to advance its AI/ML research to stay ahead of evolving threats and ensure the real human and the right human are recognized.
Requirements
- 8+ years of professional experience in AI/ML research, including deep learning, generative AI, computer vision, video analysis, audio processing, voice biometrics, speaker recognition, or fraud analytics.
- Demonstrated experience leading teams in AI research, mentoring researchers, and managing the full research lifecycle from ideation to production.
- Hands-on experience with Python and major ML frameworks (PyTorch, TensorFlow, Keras), data engineering and pipeline management, and statistical analysis.
- Successful track record of publishing at prestigious conferences/journals and transferring research models into production products.
- Experience in adversarial AI, deepfake detection, multimodal fusion, or biometric risk analysis.
- Background in large-scale video analytics, liveness detection, or synthetic video detection.
- Familiarity with cloud platforms (AWS, GCP, Azure) and embedded system deployment.
Responsibilities
- Lead, mentor, and grow a multidisciplinary research team: Guide AI/ML projects from ideation and research design through experimentation, validation, and successful transfer into product engineering roadmaps.
- Drive innovative AI/ML research: Oversee and directly contribute to the development of methodologies and production-grade algorithms in biometrics, voice authentication, fraud prevention, deepfake detection, computer vision, video understanding, audio processing, and related areas.
- Advance video and multimodal research: Build capabilities in video analysis for identity verification, liveness detection, and synthetic media detection. Explore multimodal fusion of video, audio, and behavioral signals to improve fraud prevention and authentication accuracy.
- Manage strategic research operations: Champion a rigorous, lean research culture. Prioritize projects, implement effective governance, set key performance indicators, and ensure reproducibility, integrity, and measurable impact for all research initiatives.
- Collaborate cross-functionally: Work closely with engineering, product management, security, and go-to-market teams to align research strategy with Pindrop’s commercial goals and customer needs. Facilitate the transfer of AI and video models into scalable, real-world products, including on cloud and embedded platforms.
- AI technical leadership and best practices: Ensure adoption of state-of-the-art practices in machine learning development, data handling, and model evaluation (including adversarial, synthetic, and multimodal methods). Stay current with emerging AI trends and scholarship. Promote ethical AI research and responsible innovation.
- Evangelize research outcomes: Publish patents, peer-reviewed papers, and contribute to the broader research community. Represent Pindrop at top-tier conferences, industry consortia, and academic partnerships.
Other
- You are a strategic, impact-driven leader with a deep passion for artificial intelligence and its practical application.
- You are resilient in the face of challenges, change, and ambiguity.
- You are optimistic and believe every challenge is an opportunity for breakthrough innovation.
- You are resourceful, excited to uncover innovative solutions, and teach yourself something new when needed.
- You take accountability, do the things you say you’ll do, under-promise and over-deliver.
