Hiring Software Engineer — Product | Playground AI

Software Engineer — Product

Playground Ai

Date listed

3 weeks ago

Employment Type

Full time

Remote

Yes

At Playground AI (”PAI”), we combine AI research and product design to invent new kinds of creative tools.

Over the next 10 years we plan to create a powerful AI render pipeline that allows us to edit, create, and understand pixels to accomplish challenging tasks ranging from instructing an AI to make subtle changes to images, creating entire 3D environments, and understanding context of a scene in a video. We plan to start by accomplishing difficult tasks with images first.

Our mission is to awaken the imagination within each of us.

If you join us, you’ll be an early team member in helping shape:

  1. Our future company culture
  2. Our engineering practices
  3. People that we hire
  4. The direction & focus of our products

Engineers on the team today:

  • Work TypeScript/JavaScript primarily
  • Are supportive—especially when teammates are faced with new challenges
  • Are left to autonomously figure out the solutions to their challenges
  • Put themselves in the shoes of our users to craft a great experience
  • Value clear, frequent communication (we do a lot of reading & writing)
  • Are naturally curious and willing to take a step to learn something they don’t have experience in
  • Feel a great sense of accountability to each other
  • Uphold best practices in engineering, security, and design

Skills & Experience

  • 2+ years of working full-time as a software engineer
  • Understanding of modern web technologies

Here are examples of things we’ve worked on:

  • Search using CLIP embeddings to enable queries like “An underwater dog with sunglasses
  • Scaling our distributed image generation servers to handle millions of images per week at higher throughput then stock diffusers library support
  • Building high quality design implementations of our Image creation editor experiment that bring delight to our users
  • Building an automated way to train finetuned models across a distributed GPU cluster to enable users to use filters that aesthetically improve image creation

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