Amir Maleki
Applied Research Scientist at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolAmir Maleki is an applied research scientist with 8 years of experience building ML systems for enterprise generative AI, search, and recommendation, currently contributing to ranking and recommendation at Meta. He combines a rigorous academic foundation—a PhD in Applied Mathematics and prior postdoctoral work at Stanford on AI safety and human-preference driving models—with practical industry experience accelerating numerical simulations at Ansys. His work spans from formal verification of neural controllers to deploying deep-learning solutions that speed up computational physics, reflecting a rare blend of theory and systems engineering. Skilled in cold-start recommendations and graph-based approaches from earlier roles, he brings both product-minded experimentation and research-grade rigor to production ML. Based in the San Francisco Bay Area, Amir is comfortable translating complex dynamical-system insights into scalable ML features for real-world search and recommendation problems. An interesting throughline in his career is applying control- and physics-informed thinking to safety and robustness in large-scale AI systems.
8 years of coding experience
2 years of employment as a software developer
Master of Science (MSc), Mechanical Engineering, Master of Science (MSc), Mechanical Engineering at The University of British ColumbiaBachelor of Science (BSc), Mechanical Engineering, Bachelor of Science (BSc), Mechanical Engineering at Sharif University of Technology
English
Github Skills (44)
gtk8
qt8
matplotlib7
annotations7
documentation-generator7
python7
data-visualization6
signed6
pdf6
visualization6
imagenet6
jupyter6
data-science6
deep-learning5
audio5
Programming languages (5)
Github contributions (5)
amaleki2/graph_sdf
Jun 2021 - Nov 2021
Contributions:62 commits, 41 pushes, 7 branches in 5 months
amaleki2/graph_networks
Jun 2021 - Nov 2021
Contributions:14 commits, 9 pushes, 3 branches in 5 months
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