Irina Rudenko is a Senior Machine Learning Engineer and researcher with over a decade in AI and six years focused on self-driving technologies, now based in Mountain View. She builds production-ready intelligent systems that bridge cutting-edge research and large-scale deployment—from trajectory prediction and scene modeling for autonomous vehicles to foundational models in robotics and chemistry. A MIPT-trained applied mathematician, Irina has co-authored papers at KDD and NeurIPS and contributed a Science commentary on neural-network-based DFT functionals, reflecting a rare mix of theoretical depth and applied impact. Her career spans fast-paced product work at Yandex and Avride to her current senior role at Waymo, plus regular teaching at university and high-school levels, signaling strong communication skills. Colleagues know her for integrating novel inputs and accelerating runtime systems (C++/Kubernetes/TensorFlow) to move research into petascale pipelines.
10 years of coding experience
9 years of employment as a software developer
incomplete, Mobile services architect, incomplete, Mobile services architect at Technotrek (mail.ru group)
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Data Analysis, Data Analysis at Yandex School of Data Analysis
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