What we're doing

Machine learning can now do some extraordinary things: it can understand the world, drive cars, write code, make art.

But, it is still extremely hard to use. Research is typically published as a PDF, with scraps of code on GitHub and weights on Google Drive (if you’re lucky!). It is near-impossible to take that work and apply it to a real-world problem, unless you are an expert.

We’re making machine learning accessible to everyone. People creating machine learning models should be able to share them in a way that other people can use, and people who want to use machine learning should be able to do it without getting a PhD.

With great power also comes great responsibility. We believe that with better tools and safeguards, we will make this powerful technology safer and easier to understand.

How we work

We're a bunch of hackers, engineers, researchers, and artists.

We obsess about the details of API design and the right words for things. We're defining how AI works so we'd better get it right.

We make fast and reliable infrastructure. That's what a good infrastructure product is. We're not afraid to build things from scratch to make it the fastest.

We use AI for work. We use AI for play. We find unexplored parts of the map and create new techniques ourselves. We open-source it all.

We build in public, for the community. We want AI to work like open-source software so everyone benefits from it.

We're led by engineers. We all write code. (Or, we get ChatGPT to help.) There aren’t any meetings about meetings.

We've worked at places like Docker, Dropbox, GitHub, Heroku, NVIDIA, Scale AI, and Spotify. We've created technologies like Docker Compose and OpenAPI.

We're here to build a big company. We're ambitious and hard-working. We're not here to just build nice things.

You’ll be helping our customers build cool stuff on Replicate. You’ll be pointing them in the right direction, solving gnarly technical problems, but you’ll also be showing them how to build with AI.

There are going to be boring bits of the job (”my credit card’s not working”) but you’ll also be automating as much of this as possible so you can work on the interesting things.

We're looking for the right person, not just someone who checks boxes, so you don't need to satisfy all of these things. But, you’ve probably got these qualities:

• Some experience building software in Python.
• Outstanding communication skills. You'll be the face of the company.
• Strong engineering skills troubleshooting complex code. You'll need to confidently debug a customer's problem.
• You tinker with AI. You’re going to be helping our customers build with AI, and you’re going to be automating as much of your job as you can.
• Scrappy, creative energy. You need to do whatever it takes to make something work for customers, as quickly as possible.

If you are a current/avid Replicate user, this is a big bonus. Please share your Github username and note that you are active on Replicate on your application.

We have a web product (currently React + Django), an open source CLI (Go + Python), and Kubernetes ML serving infrastructure.