PlanGrid solves a major problem for a 7,000 year old industry. Construction data is shackled in legacy, paper blueprints that are clunky, heavy to carry, and result in enormous rework costs totaling $9 billion per year for the industry due to working from outdated plans.
PlanGrid was built by builders, for builders. We’re spearheading the industry’s transformation to the cloud and digitization by arming construction workers with the best productivity tools. Contractors, owners, designers, and architects worldwide maximize PlanGrid to finish their projects on time and under budget. PlanGrid currently stores over 50 million blueprints, making us the largest digital blueprint repository in the world. We emerged from Y Combinator in 2012, and have secured over $62 million in funding from world-renowned organizations and individuals including Sequoia, Founders Fund, GV, 500 Startups, Box, Northgate, Spectrum 28, and Tenaya Capital.
We’re looking for a Machine Learning Engineer to help us transform the construction industry. Our customers are building some of the most amazing construction projects on the planet, and PlanGrid allows them to be radically more efficient.
The Smart Recordset team is at the core of this mission. We’re focused on creating robust, intelligent systems to help our customers unlock the value of their construction data. You’ll work with top-tier colleagues to build flexible solutions that allow our customers to manage this data throughout the lifecycle of their construction projects.
Ideally, candidates will also have experience with:
We realize that few people will have experiences that run the gamut of what this role requires day-to-day, so we’re looking for people with a track record of success when working on deeply technical problems. We value diversity and recognize that smart people from a wide range of backgrounds are the key ingredient when building the best products.
Other things we value:
PlanGrid is committed to supporting you to do great work, use technologies you like, alongside peers that you respect. You’ll do this on a product that delights users, has made money from the day it launched, and grown steadily ever since. If that sounds like the environment for you, we’d love for you to build and grow with us.