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Thomas Baumeister
Machine Learning Engineer at Apple
Thomas Baumeister is a Machine Learning Engineer at Apple, based in Bavaria, Germany. He has been with Apple since July 2019, where he focuses on applying machine learning techniques within the company.
Education and Experience
Baumeister holds multiple degrees from the Technical University of Munich, including a Master of Science in Mechanical Engineering and a Master of Science in Robotics, Cognition, and Intelligence, both completed between 2016 and 2019. He also has experience as a Visiting Student Researcher at Stanford University, where he worked on integrating learned algorithms with analytical models in robotics.1
His previous roles include:
- Tutor for Matlab/Simulink at the Technical University of Munich
- IT Consultant at KPMG, specializing in Big Data analyses and process mining
- Bachelor Thesis Student at TUMCREATE in Singapore, focusing on mechanical simulation of lithium-ion cells
- Project Student at BSH Home Appliances Group, working on software updates for connected appliances.1
Honors and Scholarships
Baumeister has received several scholarships, including the MATLAB Student Ambassador Scholarship and the DAAD Scholarship for research stays at the University of Washington and Stanford University. He is also recognized for his contributions to automotive engineering through the FISITA Travel Bursary.1
Language Proficiency
He is multilingual, speaking German, English, Spanish, and French.1
Overall, Thomas Baumeister's background combines a strong foundation in engineering and robotics with practical experience in machine learning applications, making him a valuable asset in his current role at Apple.
