Chen Xia
About Chen Xia
Chen Xia is a Machine Learning Engineer currently working at Nuro, where he has been employed since 2020. He has a background in computer science and has held various research and engineering roles at institutions such as Carnegie Mellon University and UCLA Health.
Work at Nuro
Currently, Chen Xia serves as a Machine Learning Engineer at Nuro, a position held since 2020. In this role, Chen focuses on optimizing research code for TPU and GPU training, ensuring efficient training infrastructure management, including Google Kubernetes Engine (GKE) and training job scheduling. Chen also specializes in enhancing model inference time using technologies such as TensorRT and OpenXLA. Prior to this role, Chen was a Machine Learning Engineer Intern at Nuro for three months in 2019, where foundational skills in machine learning were developed.
Education and Expertise
Chen Xia holds a Master's degree from Carnegie Mellon University, where studies were concentrated in the Language Technologies Institute from 2018 to 2020. Prior to this, Chen earned a Bachelor of Engineering in Computer Software Engineering from Tongji University, completing the program from 2014 to 2018. This educational background provides a strong foundation in computer science and machine learning, supporting expertise in optimizing model inference and managing large-scale data processing.
Background
Chen Xia has a diverse background in machine learning and software engineering. Before joining Nuro, Chen worked as a Graduate Research Assistant at Carnegie Mellon University for eight months in 2018-2019, contributing to research in language technologies. Additionally, Chen gained experience as a Summer Research Intern at UCLA Health in 2017 and as a Software Engineer Intern at Apple from 2017 to 2018. These roles provided practical experience in software development and research methodologies.
Technical Skills
Chen Xia possesses strong technical skills in machine learning and software development. Proficient in C++, Chen writes code to integrate machine learning models with simulation stacks, aiming to reduce real-time latency. Chen also manages the lifecycle of feature engineering scripts and modularizes feature engineering code for large-scale data processing. Expertise in optimizing training infrastructure and model inference time is a key aspect of Chen's skill set.