Sarah Ostermeier

Sarah Ostermeier

Ml Success Manager @ Snorkel AI

About Sarah Ostermeier

Sarah Ostermeier is an ML Success Manager at Snorkel AI, where she has worked since 2024. She previously held positions at Arthur, Ball Aerospace, and the University of Louisville, and has a strong academic background in Computer Science and Neuroscience.

Current Role at Snorkel AI

Sarah Ostermeier currently serves as an ML Success Manager at Snorkel AI, a position she has held since 2024. In this role, she focuses on empowering clients to integrate fairness and observability into their machine learning systems. Her work ensures that machine learning implementations are both ethical and effective, contributing to the overall success of client projects.

Previous Experience at Arthur

Prior to her current role, Sarah worked at Arthur as a Data Scientist in Customer Enablement from 2022 to 2024. During her two years in this position, she was based in New York, New York, and operated in a hybrid work environment. Her responsibilities included analyzing data to support customer needs and enhance user experiences.

Background in Research and Engineering

Sarah has a diverse background in research and engineering. She worked as a Neural Interface Machine Learning Engineer at Ball Aerospace from 2021 to 2022, where she focused on machine learning applications. Additionally, she held positions as a Research Technologist I and II at the University of Louisville from 2016 to 2018, where she analyzed heart rates and blood pressures to demonstrate the efficacy of spinal cord injury treatments.

Educational Qualifications

Sarah Ostermeier earned a Master of Science in Computer Science from the University of Wisconsin-Madison, completing her studies from 2019 to 2020. She also holds a Bachelor of Science in Neuroscience from the University of Minnesota, where she studied from 2011 to 2015. Furthermore, she obtained a Professional Capstone Certificate in Computer Science from the University of Wisconsin-Madison in 2019.

Internship and Early Career

In 2020, Sarah completed a Quantitative Modeling Internship at U.S. Bank, where she worked for two months. Earlier in her career, she gained customer service experience as a Customer Relations Representative at the University of Minnesota-One Stop from 2014 to 2015. This role provided her with foundational skills in client interaction and support.

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