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.
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.
This role
We’re looking for a machine learning engineers who can work on large-scale image and video models training experiments.
What you’ll do
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Train foundation diffusion models for image and video generation
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Train controllability modules such as IPAdapters or ControlNets
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Develop novel research techniques and put them into production
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Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets
What we’re looking for
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Proven track record in working with image or video models at scale (publications or open-source contributions a plus)
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Strong background in deep learning frameworks and distributed training paradigms
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Ability to iterate rapidly, and propose creative research directions
What we offer
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Team: Work alongside a world-class team building the future of AI creative tooling