ML Engineer - Personalization & Recommendation Systems

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 Take systems from research and prototyping through production, iteration, and continuous improvement What we’re looking for Strong experience building recommendation systems or personalized feeds from scratch Proven ability to design and ship high-quality curated content experiences Experience working with media-based personalization (image, video preferred; music or other modalities also welcome) Solid foundations in machine learning, representation learning, and modern deep learning techniques Strong Python skills and experience with ML frameworks such as PyTorch or JAX. Ability to operate independently, make architectural decisions, and own complex systems end to end