Applied ML Research – Post-training / Aesthetic Tuning
We're looking for someone with deep experience in large-scale fine-tuning of diffusion models and post-training techniques such as Direct Preference Optimization (DPO). We have loads high-quality data and aim to enhance the quality and aesthetics of the models we're building.
What you'll do:
Fine-tune diffusion models at scale to improve image aesthetics and quality.
Implement post-training methods like DPO to align model outputs with human aesthetic preferences.
Collaborate with our AI research and engineering teams to integrate advancements into our products.
Example tacit skills we're looking for:
Proven work of aesthetic tuning on diffusion models for Image or Video generation .
Experience with large-scale model training and optimization.
Expertise with diffusion models and post-training techniques.
About Krea
At Krea, 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. If you're passionate about pushing the boundaries of AI and empowering human creativity, we'd love to hear from you.
Average salary estimate
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