Sign In

Samuel Ziegler

Machine Learning Engineer

Samuel Ziegler is a highly educated professional with a strong background in Mathematics.

He pursued his Master's degree in Mathematics and is currently a PhD Candidate at The University of Illinois at Chicago.

He also holds a Bachelor of Science degree in Mathematical Sciences from Carnegie Mellon University.

Samuel has gained valuable work experience in various organizations, showcasing his expertise in machine learning, data science, and software development.

Currently, he holds the position of Machine Learning Engineer II at Twitter, where he contributes to cutting-edge projects.

Prior to Twitter, Samuel worked as a Machine Learning Engineer at Sift, demonstrating his proficiency in developing machine learning models.

He also served as an Associate Data Scientist at Lending Club, showcasing his analytical skills in the financial sector.

His experience extends to roles such as Machine Learning Engineer at Allstate, Intern in Software Development at Pivotal Software, Inc., Teaching Assistant at The University of Illinois at Chicago, and Summer Researcher at Indiana University.

Samuel Ziegler's diverse professional journey reflects his dedication to learning and applying his mathematical and data-related skills across various industries.

Highlights

May 17 · github.com
adam-maj/deep-learning: A deep-dive on the entire history ... - GitHub
Feb 1 · ml.gatech.edu
ML Ph.D. Program Faculty | ML (Machine Learning) at Georgia Tech

Related Questions

What projects has Samuel Ziegler worked on at Twitter?
What is Samuel Ziegler's educational background?
How did Samuel Ziegler transition from technical support to machine learning engineering?
What technologies or tools does Samuel Ziegler specialize in?
Has Samuel Ziegler published any research papers or articles?
S
Add to my network

Location

San Francisco, California