Philip Massey
Software Engineer, Machine Learning at The Browser Company
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPhilip Massey is a software engineer and machine-learning technical lead with 11 years of experience building production AI systems that bridge research and product. He’s led neural semantic parsing and query-understanding efforts at Google that became the first Transformer-based answer pipeline in Search and later scaled LLM-driven audience matching and feed relevance at Meta. At Humane he architected the Ai Mic and championed a shared, LLM-compatible event representation to enable cross-system agent behaviors, and he now continues applied ML work at The Browser Company. Comfortable moving between low-level systems, large-scale ML infrastructure, and product-facing research, he thrives in fast-paced teams that blend design and science-fiction-like user experiences. He holds dual BS degrees in Computer Science and Physics from Carnegie Mellon and has a background that includes avionics and cosmology research, which informs his system-level thinking and experimental rigor.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BS), Computer Science & Physics (Dual Degree), Bachelor of Science (BS), Computer Science & Physics (Dual Degree) at Carnegie Mellon University
Github Skills (17)
simulation10
algorithms10
quantum-algorithms10
python10
intermediate10
scale10
api10
sdk10
google10
quantum-computing10
multiprocessing10
quantum-programming-language10
editing10
cirq9
spotify4
Programming languages (2)
Github contributions (5)
philiptmassey/CaffeHalide
Apr 2015 - May 2015
Contributions:25 commits, 21 pushes, 2 branches in 1 month
philiptmassey/Cirq
Dec 2018 - Dec 2018
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Contributions:12 pushes, 2 branches in 10 days
pythonquantum-computingcircuitsscaleinvoking
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