San Francisco, California, United States
Onsite
Available
At Krea, we are building next-generation AI creative tools.
We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2, our first foundation model, built completely from scratch for aesthetic diversity and stylistic control, and with Krea 3 - our new image editing model.
We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.
We build and operate the infrastructure for Krea's research and inference. Distributed training, 1000+ K8s GPU clusters, petabyte scale data pipelines, etc. We build a lot of this from scratch — custom distributed datastores, job orchestration systems, and streaming pipelines that replace tools like Kafka and Ray for modern AI workloads at scale.
Design multi-stage pipelines that turn petabytes of raw data into clean, annotated datasets
Run classification models on billions of images
Deploy and combine LLMs to caption massive multimedia data
Manage distributed training and inference on 1000+ GPU Kubernetes clusters
Solve orchestration and scaling for large-scale GPU job processing
Scale workloads and research between clusters in multiple datacenters
Profile and optimize dataloaders streaming thousands of images per second
Profile and debug InfiniBand networking on huge training runs
Build fault tolerance systems for large-scale pretraining
Collaborate with researchers on evolving RL infrastructure
Find clean scenes in millions of videos using distributed shot-boundary detection
Customize and train models to filter billions of images for questions like "is this a screenshot?"
Build the systems that bridge raw cluster capacity and research output
Systems people. If you've read a blog post about InfiniBand debugging or building a custom distributed database and thought "I want to do that" — this is that team.
You'll spend your time working heavily with Python, Kubernetes, Torch, and data tools like DuckDB, Arrow, etc. It's OK if you don't have K8s or ML experience — the main thing we hire for is an intuition for distributed systems, and a great mental model of how systems interact and function under different conditions.
Python, PyArrow, DuckDB, SQL, massive relational databases, PyTorch, Pandas, NumPy…
Kubernetes
Designing and implementing large-scale ETL systems
Fundamental knowledge of containerization, operating systems, file-systems, and networking
Distributed systems design
Distributed training systems (NCCL, InfiniBand, RDMA)
Streaming and event processing systems (Kafka, Pulsar, or similar)
PyTorch internals, custom dataloaders, and training infrastructure
Team: Work alongside a world-class team building the future of AI creative tooling
Impact: Significant scope and company-wide impact
Competitive compensation: generous salary & equity packages
Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage
Time off: Flexible PTO policy
Financial planning: 401k with a 4% company-sponsored match
Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it
Transit: Ubers covered to & from the office
Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
And more!
Please note the above benefits & perks are for full-time employees
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