Summary
Bryan Marker is an experienced ML and engineering leader with 13 years of building and scaling data-driven products and teams, currently working as an ML consultant in Austin. He has led large trust-and-safety, fraud, and recommendation efforts at companies including Indeed and Meta, delivering platforms that cut fraud by ~50% and centralized cross-org capabilities to accelerate execution and reduce costs. Bryan combines a PhD in Computer Science with hands-on architecture and ML engineering experience, moving research into production across realtime and offline systems. He’s known for growing high-performing, diverse teams (scaling orgs from single digits to hundreds), instituting OKR-driven roadmaps, and stewarding multi-million dollar budgets to prioritize high-impact work. Colleagues seek him out for acquisition integrations, new product experimentation, and pragmatic strategies that balance technical excellence with measurable business outcomes. An avid educator, he’s also built internal training programs on statistics, experimental design, and distributed computing to raise engineering rigor.
12 years of coding experience
12 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at The University of Texas at Austin