Jeremiah J. Harmsen
Jeremiah Harmsen joined Google in 2005 where he has founded efforts such as TensorFlow Hub, TensorFlow Serving and the Machine Learning Ninja Rotation. He focuses on creating the ideas, tools and people to help the world use machine learning.
He currently leads the Applied Machine Intelligence group at Google AI Zurich. The team increases the impact of machine learning through consultancy, state-of-the-art infrastructure development, research and education.
Jeremiah received a B.S. degree in electrical engineering and computer engineering (2001), a M.S. degree in electrical engineering (2003), a M.S. degree in mathematics (2005) and a Ph.D. in electrical engineering (2005) from Rensselaer Polytechnic Institute, Troy, NY.
Jeremiah lives by the lake with his wife, son and daughter in Zurich, Switzerland.
Authored Publications
Sort By
Google
Scaling Vision Transformers to 22 Billion Parameters
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Justin Gilmer
Mathilde Caron
Rodolphe Jenatton
Lucas Beyer
Michael Tschannen
Anurag Arnab
Carlos Riquelme
Matthias Minderer
Gamaleldin Elsayed
Fisher Yu
Avital Oliver
Fantine Huot
Mark Collier
Vighnesh Birodkar
Yi Tay
Alexander Kolesnikov
Filip Pavetić
Thomas Kipf
Xiaohua Zhai
Neil Houlsby
Arxiv (2023)
TensorFlow-Serving: Flexible, High-Performance ML Serving
Christopher Olston
Fangwei Li
Jordan Soyke
Kiril Gorovoy
Li Lao
Sukriti Ramesh
Vinu Rajashekhar
Workshop on ML Systems at NIPS 2017
Wide & Deep Learning for Recommender Systems
Levent Koc
Tal Shaked
Glen Anderson
Wei Chai
Mustafa Ispir
Rohan Anil
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
arXiv:1606.07792 (2016)
Up Next: Retrieval Methods for Large Scale Related Video Suggestion
Lluis Garcia Pueyo
Vanja Josifovski
Dima Lepikhin
Proceedings of KDD 2014, New York, NY, USA, pp. 1769-1778
