Run machine learning models in the cloud

Product engineer

$150K - $200K
San Francisco, CA, US / Remote
Job Type
6+ years
Connect directly with founders of the best YC-funded startups.
Apply to role ›
Ben Firshman
Ben Firshman

About the role

You're a generalist engineer, leaning towards frontend/product. You've probably worked on developer tools or APIs before, and have a refined sense of what makes an excellent developer tool.

We have a web product (currently JavaScript + Django), an open source CLI (Go + Python), and Kubernetes ML serving infrastructure. The web product 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 don't mind what particular skills you already have. We figure you can pick up something new quickly.

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:

  • Extensive experience working on web products or developer tools.
  • Excellent communication skills. We think most of being a programmer is not programming. We want you to be able to communicate complex topics clearly, write down your thinking, write good docs, etc.
  • Ideally good at public speaking and getting people excited about things.
  • You don't need to know anything about machine learning, but it might be handy.

About Replicate

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 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.)

Team Size:11
Location:San Francisco
Ben Firshman
Ben Firshman
Andreas Jansson
Andreas Jansson