Tina Jia
About Tina Jia
Tina Jia is a Machine Learning Engineer at Nuro, where she has been employed since 2023. She has a background in software engineering and product management, with experience in developing machine learning models for autonomous vehicles.
Work at Nuro
Tina Jia currently serves as a Machine Learning Engineer at Nuro, a position she has held since 2023. Prior to this role, she worked as a Product Manager for Autonomy at Nuro from 2022 to 2023. Her tenure at Nuro began in 2021 when she joined as a Software Engineer, where she contributed for eight months. During her time at Nuro, she focused on developing machine learning models for detecting work zones and emergency vehicle sirens, showcasing her expertise in applying machine learning in practical scenarios.
Education and Expertise
Tina Jia holds a Master’s degree in Robotics from the University of Pennsylvania, where she also earned a Bachelor's degree in Computer Science and Philosophy. Her educational background provides a strong foundation in both technical and analytical skills, which she applies in her current role as a Machine Learning Engineer. Her studies have equipped her with the knowledge necessary for deploying machine learning models, particularly in the context of autonomous vehicles.
Background
Tina Jia completed her high school education at St. Francis Preparatory High School from 2013 to 2016. Following her high school graduation, she pursued higher education at the University of Pennsylvania, where she developed her skills in computer science and robotics. Before joining Nuro, she gained experience as a Software Engineer at DeepMind for two months in 2021 and at Google for three months in 2019, further enhancing her technical capabilities.
Achievements
Throughout her career, Tina Jia has successfully transitioned from a Product Manager role to a Machine Learning Engineer role at Nuro. She has developed machine learning models that are specifically designed for detecting work zones and emergency vehicle sirens. Her experience in deploying machine learning models on autonomous vehicles highlights her contributions to advancing technology in the field of autonomous systems.