Machine learning can now do some extraordinary things, but it’s still hard to use. You spend all day battling with messy Python scripts, broken Colab notebooks, perplexing CUDA errors, misshapen tensors. It’s a mess.
The reason machine learning is so hard to use is not because it’s inherently hard. We just don’t have good tools and abstractions yet.
We’re making machine learning accessible to all software engineers. You should be able to import an audio transcriber the same way you import an npm package. You should be able to fine-tune GPT as easily as you can fork something on GitHub.
Read more about what we’re doing and why on our blog.Auni Nair
she/her
Operations, econ major, pilates enthusiast.
Charlie Gleason
he/him
Designer and engineer, keen on the intersection of design and code, and other people's dogs. Formerly Heroku, Salesforce.
Dylan
boy/boy
Chaser of balls. Best at barking.
F
ey/em or they/them
Recovering: physicist, game developer, civic & health technologist, engineering manager.
Gandalf Hernandez
he/him
EM at Discord and Spotify building ML platforms. Photography, diving, [bh]iking.
Matt Rothenberg
he/him
Design and Engineering at GitHub Next, Heroku. French speaker, street photographer.
Morgan Fainberg
he/him
Engineering, Infrastructure, and Open Source at Salesforce, Red Hat, HP. Repository of useless information.
Nick Stenning
he/him
Infrastructure and humans at Microsoft, Travis CI, and the UK’s Government Digital Service.
Queso
he/him
Fetch enthusiast. The goodest boy.
Sakib
he/him
Born too late to explore the world. Born too early to explore the universe. Born just in time for the AI uprising.
a16z
Matt Bornstein
Martin Casado
Sequoia
Stephanie Zhan
Adam Wiggins
Founder of Heroku
AI Grant
Alexandr Wang
Founder of Scale
Amjad Masad
Founder of Replit
Andrej Karpathy
OpenAI
Brian Whitman
Spotify
Dylan Field
Founder of Figma
Guillermo Rauch
Founder of Vercel
James McInerney
Research at Netflix
Lachy Groom
Stripe
Lukas Biewald
Founder of Weights & Biases
Lisha Li
Founder of Rosebud
Kurt Mackey
Founder of Fly.io
Manu Sharma
Founder of Labelbox
Nancy Xu
Founder of Moonhub
Nuno Job
Founder of Decipad
Paul Yacoubian
Founder of Copy.ai
Radu Spineanu
Founder of Two Tap
Richard Socher
Founder of You.com
Scott Johnston
CEO of Docker
Slater Stich
Activation Fund
Solomon Hykes
Founder of Docker
Suhail Doshi
Founder of Playground AI
SV Angel
Thomas Dohmke
CEO of GitHub
Tristan Handy
Founder of dbt
Y Combinator
Zach Holman
Early engineer at GitHub
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 all here to do the best work of our careers. We’re looking for the same in the people we work with.
We ship like there’s no tomorrow. But, we don’t ship crap. We optimize for speed and quality, but cut scope.
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 move fast and push each other, but in an inclusive, supportive environment. We want to work with the sharpest people, but not those who have ego about it. And, we just want to have fun while we’re at it. You’ll help us make that place.
We operate as a remote-first company across American and European timezones. We have a beautiful office in San Francisco where some of us work, but you can be located anywhere from UTC-08 to UTC+02.
We want our team to feel invested in what we’re building. We pay market salary, but well-above market equity, along with all the usual things.
If you don't see a specific role but you're excited about making AI and machine learning more accessible to developers, get in touch. Email us at jobs@replicate.com.
You’re an engineer who lives and breathes high-performance machine learning. You have a deep understanding of how to make AI models run faster and more efficiently, and you’re excited about pushing the boundaries of what’s possible with current hardware.
At Replicate, we’re building the fastest way to deploy machine learning models. Your role will be crucial in optimizing the performance of the diverse range of models we host, ensuring they run as efficiently as possible on our infrastructure.
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 might have some of these qualities:
You might be particularly good for this job if:
Email us jobs@replicate.com
You’re a generalist data and analytics expert who thrives on developing data infrastructure at scale. You act like an owner and feel a desire to lead; you’ve likely been a data engineer at traditional companies but you’re ready to amplify your impact as the first data hire at a leading AI startup.
Replicate is building the fastest way to deploy machine learning models. We offer access to all types of open source models across modalities and levels of customization. The business is complex and we need a solid data foundation to guide decisions and hold ourselves accountable. You’ll be responsible for owning this foundation across the company.
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 probably have some of these qualities:
This role is based in our San Francisco office.
Email us jobs@replicate.com
You’re an engineer who dreams in cycles and optimizations. You have a deep passion for squeezing every ounce of performance out of complex systems, whether that’s rendering the latest AAA game title or optimizing large-scale distributed systems.
At Replicate, we’re building the fastest way to deploy machine learning models. We’re looking for someone who can bring their performance optimization expertise to the cutting edge of AI infrastructure.
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 might have some of these qualities:
You might be particularly good for this job if:
While prior experience with AI or machine learning isn’t required, you should be excited about applying your performance optimization skills to this domain. We believe your expertise in cycles, memory management, and systems-level thinking will translate well to the challenges of optimizing AI model inference and training.
Email us jobs@replicate.com
You’ll be responsible for working with hiring managers and our teams to understand needs, develop recruiting strategies, and ensure a candidate experience that feels like Replicate. The goal is to get the right people into Replicate, whatever it takes.
You are a technical recruiter with a deep understanding of the startup space (bonus points for experience in gen ai), excellent communication skills and a proven track record in sourcing, engaging, and hiring candidates for highly technical roles.
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 might have some of these qualities:
This role is based in our San Francisco Office.
Email us jobs@replicate.com