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Mike Schuster — Head of AI Core · Two Sigma · New York, New York, United States.
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Profile updated Nov 2026 · Sourced from public professional profiles · Legitimate-interest B2B basis
About
AI expert and enthusiast with 25+ years of focus on general machine learning and neural networks for all kinds of sequential data problems. As Head of the AI Core team at Two Sigma, I am working with a growing team of AI researchers on challenging machine learning problems for the company and in finance broadly. I was previously a member of the Google Brain team in California, helping the development of the new Google Neural Machine Translation system (see more details in article below). I also worked over the years on early versions of large language models, developed and used the first tokenization algorithm for NLP, and developed YouTube recommendation systems, speech recognition, speech synthesis and was an early contributor to TensorFlow. We are hiring for research/development positions at Two Sigma in the AI Core team (machine learning, deep learning, reinforcement learning etc. + programming)-- you can find and apply to open AI Research Scientist roles at https://careers.twosigma.com/. I try to answer most direct requests, but sometimes there is just too much volume, please try again if you are waiting for information from me.
Experience
Managing Director (Head of AI Core Team)Current
Two Sigma · New York, NY
Apr 2018 – Present
We are building new machine learning, neural network, deep learning and AI technology for financial products. We are looking for people with ML/DL, reinforcement learning etc. experience who are interested to work on and understand financial data, contact me for details.
Senior Staff Research Scientist
Google · Mountain View, California
Mar 2006 – Mar 2018
Research/development in speech recognition and recently more in machine learning and neural networks. Lots of fun! In the past few years we built the Android speech recognition system in many languages from scratch (I developed the first Japanese and Korean speech models on Android among many other things). I worked for a while on recommendation systems with YouTube data using NNs. I was then part of the Brain team doing more basic neural networks and machine learning research and development, used for all kinds of applications at Google. In 2016 I led the rebuild of Google Translate as a Neural Machine Translation system with great results, all languages have significantly improved translation accuracy and we can now even translate multiple languages with a single model. Lots of info about the project in this NYT magazine article: https://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html. Most recently I was working on Google's human-like speech synthesis 'Tacotron 2'.
Education
Skills
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