Laszlo Korsos

I've spent 15+ years writing the algorithms and building the teams behind systems that touch hundreds of millions of people every day, from the code that priced every Uber trip worldwide to the model that unlocked a ~$6B annual revenue opportunity at Attentive. I enjoy turning applied research into products that generate billions in incremental revenue.

My academic background is in probabilistic machine learning and Bayesian inference. I finished my PhD at the University of Chicago in a record 2 years and 9 months, built one of the world's Top 500 supercomputers as an intern for a global investment fund, and used the proceeds to finance expeditions to summit some of the world's highest mountains.

Today I lead Applied & Data Science, AI/ML, and ML Platform at Attentive, building the AI and machine learning systems that power personalized messaging for 8,000+ enterprise brands. Outside of work, I'm a mountaineer, endurance athlete, and an enthusiast of Napa Valley viticulture. I've also sung backup for Kenny Chesney, Renée Fleming, and other musical artists.

Experience LinkedIn →

2024–Present

Attentive

Head of DS, ML & ML Platform · First Data/Applied Science IC · 2024–Present

Brought in by the CEO to uncover value in Attentive's data. Personally built the SMS industry's first frequency optimization model, identifying a ~$6B annual revenue opportunity for brand customers. Promoted to unify DS, Applied Science, MLE, and ML Platform into one ~25-person org owning end-to-end modeling and inference for 8,000+ enterprise clients.

2019–Present

Multiply Talent · f.k.a. HeadRace

Co-Founder · 2019–Present

Founded a Data/AI-focused recruiting marketplace. Bootstrapped to $1M+ revenue as a side-hustle, then raised $6M from Greylock, Susa Ventures, and Breyer Capital. Won Slack's "Visionary of the Year" alongside OpenAI, Rivian, Shipt, and Spotify. Brought on a dedicated CEO and transitioned to an advisory role. Now the largest AI, ML, and Data search firm serving private equity.

2020–21

Realtor.com

SVP of Data & Analytics · 2020–21

Led data and analytics across Product, Engineering, Sales, and Marketing. Grew team from 35 to 60+ in under a year.

2019

Flexport

Senior Director, Head of Marketplace & Pricing DS/ML · 2019

Led the team that created Flexport's industry-leading pricing and optimization technology across procurement, margin, routing, and fulfillment.

2014–17

Uber

Co-Founder of Marketplace Org · Founder of Marketplace Data Science · 2014–17

Joined as one of Uber’s first 100 technical hires. Promoted within 2 months to found and lead the teams behind Uber’s core marketplace algorithms — Surge Pricing, UberPool matching and routing, dispatch optimization, and anomaly detection — pricing every Uber trip worldwide. Led development of H3 hexagon-grid dynamic pricing, generating $300M+ in incremental annual revenue. Co-founded the broader Marketplace Team (now 1,000+ people). Co-inventor on 3 patents and 7 patent applications. Founded what Travis Kalanick called Uber’s “math department.” Cold-recruited 5 tenured professors from Columbia, Yale, Cornell, and UCLA.

2013–14

Goldman Sachs

Associate, Interest Rate Product Strats · 2013–14

Structured interest rate derivative deals. Implemented the firm's first Bayesian statistical learning methods for asset pricing, hedging, and forecasting.

2009–10