Ted Wild

Q: What is Ted Wild email address?

Email Ted Wild at wildted@live.com. This email is the most updated Ted Wild's email found in 2026.

Q: How to contact Ted Wild?

To contact Ted Wild send an email to wildted@live.com. (updated on August 27, 2024)

Staff Software Engineer - Machine Learning at Meta | Greater Seattle Area

About Ted Wild

Ted Wild is a seasoned Software Engineer specializing in Machine Learning at Meta, where he leverages his extensive expertise in distributed systems and big data to drive innovative projects. With a robust background in scalable computing, Ted has been instrumental in the design and implementation of high-performance solutions that cater to the demands of modern technology. One of his notable achievements includes the development of the Torchscript implementation for a production semantic parsing model, which has significantly enhanced the efficiency and accuracy of natural language processing tasks across Meta's platforms.

In his current role, Ted has transformed the release pipeline for semantic parsing models, increasing the deployment frequency from once a quarter to an impressive once a week. This automation not only accelerates the integration of new features but also ensures that Meta's voice experiences—particularly for smart displays like Portal and virtual reality systems such as Quest—remain at the forefront of user engagement. His work on on-device automatic speech recognition (ASR) and the automated ingestion of knowledge graphs exemplifies his commitment to enhancing user interaction through cutting-edge technology.

Ted's proficiency in programming languages such as C++, C#, and Python, combined with his experience in frameworks like Apache Spark and Apache Kafka, allows him to write efficient, scalable programs that handle vast amounts of data. His leadership experience in managing distributed platforms further underscores his ability to navigate complex technical challenges while fostering collaboration among cross-functional teams. As he continues to push the boundaries of machine learning applications at Meta, Ted remains dedicated to delivering impactful solutions that shape the future of technology.

Ted Wild Work