Machine Learning Engineer

One day, we’ll look at the digital interfaces we use today the same way we now look at floppy disks and dial-up internet.
Backed by Khosla Ventures and Nat Friedman, Coframe is pioneering this next generation of user interfaces that can adapt, evolve, and improve themselves: living interfaces.
We’re solving fundamental problems in AI and product, training multimodal models that understand users and business goals to enable user interfaces to continuously and autonomously improve themselves.
The ideal candidate is a software engineer who has built and launched applications on top of LLMs, worked with a variety of common tools for LLM-enabled software, and is familiar with research in prompt engineering techniques. You've deployed Machine Learning models in production, and know how to run fine-tuning jobs (bonus points: you have experience with RLHF). You are familiar with or even have contributed to open-source libraries related to LLMs and love a 0 to 1 challenge. You’ll collaborate closely with the product engineering team and research engineering team to build practical solutions that address real user needs.
If you thrive in collaborative, early-stage startup environments and get excited about the future of user interfaces, we invite you to apply.