ML Engineer - Personalization & Recommendation Systems
Krea - San Francisco, California, United States
Posted Dec 17, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- 401(k) match
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Schedule
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- Weekend work
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About this role
ML Engineer - Personalization & Recommendation Systems San Francisco, California, United States About Krea 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 formats-text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This Job We're looking for an ML Engineer to architect and build Krea's personalization and recommendation systems from scratch. You'll have full ownership over how we understand user taste, curate content, and adapt generative models to individual aesthetics. This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools. What you'll do - Architect and build Krea's personalization and recommendation stack from the ground up, owning the technical direction end to end. - Design algorithms to model user preference and taste, enabling Krea's models to adapt to individual styles and aesthetics. - Build high-quality, curated feeds that balance exploration, personalization, and aesthetic coherence. - Work directly with the our model and research team to co-design personalization mechanisms that influence how our generative models learn, adapt, and express style. - Contribute to personalized image generation research, with a focus on style, taste and subjective quality. - Collaborate closely with product, design, and research to define what “good personalization” means in a creative context
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