Machine Learning Engineer

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.

We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.

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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

• 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