About Nunchux AI
Nunchux AI builds infrastructure that makes multimodal generative AI faster and cheaper to serve, and easier to build on. Founded by MIT PhDs Muyang Li, Yujun Lin, and Zhekai Zhang with CMU Professor Jun-Yan Zhu, Nunchux brings together deep research expertise and production systems experience. Our work is built on nearly a decade of research from MIT and CMU, including nunchaku project, whose models have surpassed 4 million downloads. We have top VC backing, and we build for enterprises and for millions of developers.
The Role
Help Nunchux bring new image and video models to Modelverse as soon as they become available. Your focus is speed to launch: get the model running, connect it to the platform, and ship a working first version.
You will own the initial integration and the Day 1 release, working with the cloud team on deployment and with the product engineers on the API and Modelverse integration. After launch, you will hand off the further work on performance, cost, and model quality to the relevant teams. Between launches, you will maintain and extend our shared code for model integration and serving.
What You’ll Do
Prototype new models: Get new image and video models running quickly with the available code and weights. Run test examples and identify what each model needs for launch.
Ship the first version: Coordinate the deployment with the cloud team, and the API and Modelverse integration with the product engineers. Get the basic parameters, examples, and developer instructions ready for Day 1.
Speed up the launch process: Find bottlenecks, automate manual steps, and simplify the handoffs with the cloud and product teams. Build reusable adapters and launch scripts to reduce the work each new model takes.
Verify and hand off: Test the integration end to end, including the outputs and the error handling. Fix launch blockers, and document the known limitations for the teams that take on further optimization.
Maintain the integration...
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