Benjamin Wallace is a Senior Machine Learning Engineer and AI Fellow with a decade of experience translating mathematical research into production ML systems, currently building applied AI at SoundHound AI in Canada. He blends a PhD-level background in probability and mathematical physics with hands-on engineering—shipping perception models and vision-language search engines for consumer robots at iRobot and reducing dependence on labeled data via self-supervised and contrastive learning. Benjamin has strong MLOps instincts, having built serverless artifact registries, CI/CD tooling, and end-to-end training/quantization pipelines that bridge research and deployment. He is equally comfortable publishing and presenting theoretical work as he is optimizing latency for edge accelerators, making him effective at turning novel ideas into robust, deployable products. An often-overlooked facet of his profile is sustained cross-disciplinary leadership: organizing academic seminars, mentoring students, and running production initiatives that connect research, tooling, and product teams.
10 years of coding experience
11 years of employment as a software developer
PhD Mathematics, PhD Mathematics at The University of British Columbia
MSc Mathematics, MSc Mathematics at Queen's University
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Benjamin Wallace - Sr. Machine Learning Engineer at SoundHound AI