Reproducible machine learning

ML Advocate & Community

Berkeley, CA / Remote
Job Type
Any (new grads ok)
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Andreas Jansson
Andreas Jansson

About the role

We are looking for people with ML skills who love teaching, getting people excited about things, and working with communities. You might be a researcher looking for a more people-facing role, an ML evangelist working at a company, or a PhD student looking for some work on the side.

You will help us make every ML researcher know of and love Replicate. That might involve building fun projects with Replicate and writing about them. It might be organizing meetups, making videos, writing tutorials. You've probably got better ideas than we do.

We also have an existing community of researchers on Replicate, Discord, GitHub, and Twitter. You will help us support and grow that community.

This role can be full-time or part-time. It might be multiple people, depending on what your skills are. You don't necessarily need experience being an evangelist or running communities — we're looking for the right people.

We're not just checking boxes, so you don't need to satisfy all of these things. But, you might have some of these qualities:

  • Superb at communicating and teaching ML concepts.
  • Experience building and working with communities.
  • Experience working with open source communities.
  • Ideally already respected and have a following in an ML community.
  • Ideally good at public speaking and getting people excited about what we're building.

Why you should join 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:4
Location:Berkeley, CA
Ben Firshman
Ben Firshman
Andreas Jansson
Andreas Jansson