Krea is building next-generation AI creative tools and is looking to solve the problem of making AI intuitive and controllable for creatives. The job focuses on developing personalization and recommendation systems to empower human creativity through AI.
Requirements
- 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
- Experience with large-scale data systems and production ML infrastructure
Responsibilities
- 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 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
Other
- Openness to sponsoring international candidates (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
- Competitive compensation (75th percentile of market) with meaningful equity.
