Summary
Ari Seff is a machine learning researcher and engineer with a decade of experience building generative models for autonomous driving and broader ML systems, currently a Member of Technical Staff at OpenAI. He progressed from a Princeton PhD in Computer Science into research roles at Waymo—where he focused on generative models for perception and autonomy—and brief research stints at Apple before joining OpenAI. Ari blends deep academic rigor with product-focused research, shipping research-driven systems in safety-critical domains like self-driving vehicles. Based in San Francisco, he brings hands-on experience across industry internships (Google, Ford) and NIH research, suggesting a strong interdisciplinary approach to ML problems that spans theory, applied modeling, and real-world deployment.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Princeton University