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 leading our team of customer engineers. You’ll be setting up the right processes, measuring how well our customers are being looked after, and passing feedback back to the product team.

You’ll also be doing the work: solving customers’ problems and showing them how to build with AI. Managers at Replicate don’t just manage — they’re experts in their field.

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:

• You’ve run a technical customer or support team before.
• Outstanding communication skills. You'll be the face of the company.
• Strong engineering skills. You don't need decades of experience, but you do 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.

This role is based in our San Francisco office in the Mission. We don’t have a strict in-office schedule, but we like people to come in at least 3 days a week.

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