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 looking after our largest customers. You’ll be their primary contact at Replicate: you’ll help them get onboarded, build relationships with them, listen to what they need, and generally just do whatever it takes to make them happy and successful.

The best way to help customers is to make a better product. You’ll also be feeding what you’re hearing from customers back to product teams, and advocating for what they need.

We have the coolest customers. You’ll be working with the founders and engineers at some of the fastest growing generative AI startups and teams inside Fortune 500s who are taking AI to the masses.

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 worked in a technical customer-facing role before.
• A technical background. We’re a technical product and most of our customers are engineers and they want to be talking to people who get it.
• Scrappy, startup energy. You’ll be the first person in this role so you’ll be figuring it out from scratch. You’ll probably be doing bits of sales, customer success, and whatever other hats need wearing.

You'll be working from our beautiful office in the Mission, San Francisco for this role. We want to build a strong in-person culture for the people who are there. We want you to be there, not feel like we have to drag you in. We’d love for you 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.