Alex Anderson is a Staff Machine Learning Engineer at Apple with nine years of experience building production ML systems, most recently contributing to Siri and special projects. He led core research and engineering at WaveOne to develop next-generation deep learning–driven video compression and explored joint ML/compression strategies to improve content-aware delivery. Trained as a physicist (PhD, UC Berkeley) who studied visual information processing and implemented ML on non-traditional hardware, he bridges rigorous research with pragmatic engineering. An active open-source contributor, his C++ work includes impactful UI and stability enhancements to OBS Studio, reflecting a taste for full-stack problem solving. He also mentors students and runs programs to onboard undergraduates, and is currently hiring a summer 2026 intern—schedule a chat via his public calendly.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of California, Berkeley
B.A Summa Cum Laude Physics; Mathematics, B.A Summa Cum Laude Physics; Mathematics at Washington University in St. Louis
OBS Studio - Free and open source software for live streaming and screen recording
Role in this project:
Full-stack Developer
Contributions:20 commits, 73 PRs, 50 comments in 1 year
Contributions summary:Alex primarily contributed to the user interface and functionality of OBS Studio. Their work involved fixing bugs related to filter pasting and memory leaks, along with implementing features like the Twitch activity feed and dockable stats. They also added features to the UI such as the ability to hide and select array values in the UI and added keyboard shortcuts for removing filters. Their contributions touched on both UI and underlying system components.
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Alex Anderson - Staff Machine Learning Engineer at Apple