About SigOpt

Our mission is to empower experts

SigOpt was born out of the desire to make experts more efficient. While co-founder Scott Clark was completing his PhD at Cornell he noticed that often the final stage 
of research was a domain expert tweaking what they had built via trial and error. 
After completing his PhD, Scott developed MOE to solve this problem, and used it 
to optimize machine learning models and A/B tests at Yelp. SigOpt was founded in 2014 to bring this technology to every expert in every field.


We are committed to our values

  • Empowerment: Take ownership and make bold decisions
  • Solidarity: Transparently collaborate toward shared goals
  • Respect: Foster an inclusive, professional and safe environment for everyone
  • Balance: Know when to work, when to play and when to go home
  • Curiosity: Be a humble teacher and active student
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We contribute dozens of technical blog posts, academic papers, industry trend analysis articles and topical interviews to third party publications each year. We welcome additional opportunities to contribute to this broader community that cuts across AI, ML and optimization.

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Today, in one hour! Learn how to use SigOpt's new Metric Management tool to learn how to use the following features in sync – Stored Metrics, Metric Thresholds, Metric Constraints, and more. Join us here at 10am PT / 1pm ET: https://t.co/M9J4GxNmLx
A solution that helps you craft the right combination of bounds, thresholds, and strategy – introducing SigOpt's new Metric Management suite. Join us for a demo tomorrow, Thursday May 28, at 10am PT / 1pm ET. Register free here: https://t.co/M9J4GxNmLx
Who's optimizing their #hyperparameters? Researchers @bouthilx from @MILAMontreal and @GaelVaroquaux from @Inria surveyed tuning methods across @NeurIPSConf and @iclr_conf. Sophisticated optimization methods are gaining traction: https://t.co/jfktdcxdnE