Ines Dormoy

ML Engineer at Waymo · San Francisco, CA

I'm a machine learning engineer at Waymo, where I build scalable sensor fusion systems for autonomous driving within the Perception team. Previously, I was a Research Assistant at Stanford's BMIR (Biomedical Informatics Research) lab, working on large language models for unstructured data at the Boussard Lab and statistical survival analysis at the Summer Han Lab. I also contributed to Zara's first semantic search engine during my internship at Inditex.

I hold an MS in Computational & Mathematical Engineering from Stanford and studied at CentraleSupélec in Paris. I also took part in the Stanford Machine Learning Group's AI for Climate Change (AICC) bootcamp, where I worked on TEOChat.

Outside of work, I'm interested in multimodal learning and robotics, particularly in building systems that connect perception, reasoning, and action in the real world. I also mentor high school and college students in the Bay Area and within my alumni networks.