Samantha Hansen
Senior Machine Learning Engineer at Apple
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolSamantha Hansen is a Senior Machine Learning Engineer with eight years of experience bridging academic research and production ML at top tech firms. She holds a PhD in Applied Mathematics from Northwestern and a BS from Columbia Engineering, and has applied that rigorous background to speech recognition research at IBM and large-scale ML at Spotify and Apple. Her expertise spans deep neural networks, reinforcement learning, stochastic optimization, and statistical modeling, with hands-on systems experience in C++, Python, and MATLAB on Linux. Colleagues rely on her for turning complex probabilistic formulations into robust, production-ready models and for navigating trade-offs between theory and deployability. Notably, she transitioned from focused research roles into product-oriented engineering at major platforms, bringing both experimental rigor and an operational mindset. Based in New York, she combines academic depth with practical impact across speech and recommendation domains.
8 years of coding experience
Doctor of Philosophy (Ph.D.), Engineering Sciences and Applied Mathematics, Doctor of Philosophy (Ph.D.), Engineering Sciences and Applied Mathematics at Northwestern UniversityBachelor’s Degree, Applied Mathematics, Bachelor’s Degree, Applied Mathematics at Columbia Engineering
Github Skills (15)
scalding10
breeze10
algebird10
scala9
transformation9
spark9
feature-store8
xgboost8
science8
tensorflow8
factorization7
machine-learning7
data-science6
ml5
deep-learning4
Programming languages (2)
Github contributions (4)
slhansen/tffm
Nov 2017 - Jan 2018
Contributions:5 commits, 1 PR, 5 pushes in 2 months
factorizationdeep-learningmachine-learningarbitraryfactorization-machine
slhansen/featran
Jul 2017 - Jul 2017
Contributions:1 push in 1 day
transformationfeature-transformationscala-libraryscalajsscala
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