Krea
Machine Learning Engineer
At Krea, we are building next-generation AI creative tools. We are 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 formatstext, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We're looking for a machine learning engineer who can work on large-scale image and video models training experiments. Some stuff you can do: Train foundation diffusion models for image and video generation. Train controllability modules such as IPAdapters or ControlNets. Develop novel research techniques and put them into production. Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets Example experience and skills we're looking for: Proven track record in working with image or video models at scale (publications or open-source contributions a plus) Strong background in deep learning frameworks and distributed training paradigms. Ability to iterate rapidly, and propose creative research directions A bit more about us: We've raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.
At Krea, we are building next-generation AI creative tools. We are 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 formatstext, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We're looking for a machine learning engineer who can work on large-scale image and video models training experiments. Some stuff you can do: Train foundation diffusion models for image and video generation. Train controllability modules such as IPAdapters or ControlNets. Develop novel research techniques and put them into production. Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets Example experience and skills we're looking for: Proven track record in working with image or video models at scale (publications or open-source contributions a plus) Strong background in deep learning frameworks and distributed training paradigms. Ability to iterate rapidly, and propose creative research directions A bit more about us: We've raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.