We’re making machine learning easier and safer to use.

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!). Unless you are an expert it is impossible to take that work and apply it to a real-world problem.

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 so 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.

Who we are

Andreas Jansson
Andreas Jansson

Built research tools & infrastructure at Spotify. PhD in ML for music.

Ben Firshman
Ben Firshman

Product at Docker, creator of Docker Compose.

Chenxi Whitehouse

PhD candidate in visual language understanding.

Dashiell Stander

Machine learning dilettante.

Dominic Baggott

Engineering at GOV.UK, NHS.UK. Leadership at a civic tech agency.

Jillian Ross
Jillian Ross

PhD student in deep learning at MIT CSAIL.

Zeke Sikelianos
Zeke Sikelianos

Engineering at GitHub, npm, Heroku. Creator of Swagger.

Join us

We're looking for a few people to join our small team.

We're a kind, creative, hard-working bunch. We care about our work and our users. We're humble and show humility. We're looking for the same in the people we work with.

When starting this company, we thought: instead of getting a job at the best place to work, let's make that best place to work. We want to work with the best people in an inclusive, supportive environment. And, just have fun while we're at it. You will help us make that place.

You can be located anywhere. We have a beautiful office in Berkeley, CA where some of us work, but we operate as a remote-first company across American and European timezones.

We want our team to feel invested in what we're building. We pay market salary, but well-above market equity. And, all the usual things. (We're European so you'll get really good healthcare.)

Product engineer

You are a generalist engineer, leaning towards frontend/product. We don't mind what particular skills you already have. We figure you can pick up something new quickly.

We have this website (currently React + Django), an open source CLI (Go + Python), and Kubernetes ML serving infrastructure. The web product and the CLI is probably where you'll be spending most of your time, but you might be touching any part of this, as well as all the other things that happen in the early stage of a company (talking to users, doing support, etc).

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

Email us: jobs@replicate.com

Part-time roles

We are hiring for various part-time work for PhD students or similar. See here for more details.

Replicate Reproducible machine learning