Replicate
Run machine learning models in the cloud
Infrastructure Engineer (San Francisco)
About the role
At Replicate, we believe AI shouldn’t be exclusive to tech giants — it should be accessible to every software developer. Our goal is straightforward: build the best platform for creating, deploying, and running machine learning models. As an Infrastructure Engineer on the Platform team, you’ll play a key role in making generative AI available to everyone.
The Platform team at Replicate oversees the entire lifecycle of models, from packaging and deployment to serving, scaling, and monitoring. You’ll be developing the infrastructure that supports thousands of models and powers millions of predictions daily. This is a chance to build something truly innovative, where each decision you make has a tangible impact and allows your creativity to shine.
What you’ll be doing:
- Designing and building our deployment and model-serving platform.
- Building technology to operate the latest advancements in the ML and AI space.
- Designing systems to maximize the utilization and reliability of our Kubernetes clusters and GPUs, including multi-regional traffic shifting and failover capabilities.
- Owning and optimizing fair and reliable task allocation and queuing across a diverse set of customers with heterogeneous workloads.
- Working with our Models team to speed up model inference through techniques like caching, weights management, machine configurations, and runtime optimizations in Python and PyTorch.
- Working with technologies such as
- Python, Go, and Node.js
- Kubernetes and Terraform
- Redis, Google BigQuery, and PostgreSQL
We're looking for the right person, not just someone who checks boxes, but it’s likely you have…
- Experience building platforms at scale.
- Worked in complex systems with many moving parts; you have opinions on monoliths vs. services.
- Designed and implemented developer-friendly APIs to enable scalable and reliable integration.
- Hands-on experience setting up and operating Kubernetes.
- A passion for building tools that empower developers.
- Strong communication and collaboration skills, with the ability to understand customer needs and distill complex topics into clear, actionable insights. We believe that most of programming isn’t just about writing code; building a platform requires a collaborative approach.
- At least 3 years of full time software engineering experience.
These aren’t hard requirements, but we definitely want to talk with you if…
- You have worked on machine learning platform teams in the past.
- You have experience working with or on teams that have put ML/AI into production, even though this role does not entail building ML models directly.
- You have some exposure to serving Generative AI features where GPUs are costly commodities and workloads can take significant time to finish.
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. Most people come in at least 3 days a week.
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 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.
