We're focused on understanding and recommending content at scale. We use ML/NLP techniques to algorithmically understand the meaning behind content and make sense of people's wide and nuanced interests based on their behavior. Engaging content is the future of online monetization, and we're building the intelligent infrastructure for deploying revenue-generating content.
We have a ton of interesting problems to solve. We're constantly ingesting vast numbers of documents to learn from, tracking millions of interactions with content, computing the interests of millions of users, and making personalized real-time recommendations. This scale impacts every engineering decision we make, and we're looking to build a company with people excited by the challenges it poses.
You'll want to have interests or experience in some of the following:
* Working extensively in functional languages (we mostly use Scala, with Akka, Spray, Scalaz; some Haskell).
* Building large-scale distributed systems (we run a microservices architecture on AWS)
* Designing and implementing proprietary machine learning models and real-time personalized recommendation systems
* Rapidly iterating and scaling a front-end product (designing UX and UI, HTML/CSS & React, etc.)
We're a VC and Y Combinator-backed startup at the beginning of our journey. As one of our first engineers you'll play a central role in defining our tech culture and direction. There's a huge opportunity to effect change at scale through real responsibility and ownership of product. And because at this early stage there's so much to do, there's so much to learn and room to grow!
We're focused on understanding and recommending content at scale. We use ML/NLP techniques to algorithmically understand the meaning behind content and make sense of people's wide and nuanced interests based on their behavior. Engaging content is the future of online monetization, and we're building the intelligent infrastructure for deploying revenue-generating content.
We have a ton of interesting problems to solve. We're constantly ingesting vast numbers of documents to learn from, tracking millions of interactions with content, computing the interests of millions of users, and making personalized real-time recommendations. This scale impacts every engineering decision we make, and we're looking to build a company with people excited by the challenges it poses.
You'll want to have interests or experience in some of the following:
* Working extensively in functional languages (we mostly use Scala, with Akka, Spray, Scalaz; some Haskell).
* Building large-scale distributed systems (we run a microservices architecture on AWS)
* Designing and implementing proprietary machine learning models and real-time personalized recommendation systems
* Rapidly iterating and scaling a front-end product (designing UX and UI, HTML/CSS & React, etc.)
We're a VC and Y Combinator-backed startup at the beginning of our journey. As one of our first engineers you'll play a central role in defining our tech culture and direction. There's a huge opportunity to effect change at scale through real responsibility and ownership of product. And because at this early stage there's so much to do, there's so much to learn and room to grow!
To apply, please head over to https://permutive.workable.com/jobs/72041