We love to solve hard problems

Sharing ideas is integral to innovation. Whether an idea directly applies to our work or is simply interesting, we voraciously consume cutting-edge research—and contribute thinking of our own.

Engineering, Work & Careers

Gyms for the Mind: Two Sigma’s Hacker Labs

What does connecting a 1930s-era teletype machine to the internet have to do with financial services? Or building a NASCAR simulator have to do with modeling or machine learning? More than you might think!

Engineering, Work & Careers

Gyms for the Mind: Two Sigma’s Hacker Labs

Data Science, Engineering

A 24x Speedup for Reinforcement Learning with RLlib + Ray

Data Science, Engineering, Work & Careers

Watch: How to Ace a Technical Interview

Engineering, Work & Careers

Endlessly Curious and Maximally Effective: Engineering Education at Two Sigma

Data Science, Engineering

Our Favorite Deep Learning Papers and Talks from ICLR 2021

Engineering, Policy

Ethics and Technology: A Fireside Chat with David Siegel

Bloomberg: Camille Fournier on Building Tech at Two Sigma

safeboot: Improving the Safety of Booting Linux on Normal Laptops

Engineering, Work & Careers

Software Engineering or Product Management: Which Is Best for You?

Tech Stew: Highlights from Strange Loop 2019 and PWLConf 2019

Agile Cloud Security

Engineering, Policy

David Siegel on the “Rules for the AI Race”: a WEF Roundtable

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