ML Engineer: Personalization & Creative Recommendations

krea.ai; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive compensation

Openness to sponsoring international candidates

Impact in a growing team

Job summary

A leading AI creative tooling company in California is seeking an ML Engineer to create and manage their personalization and recommendation systems. The ideal candidate will have strong experience in building personalized feeds, proficiency in Python, and a solid foundation in machine learning. Responsibilities include shaping user experience through tailored content, collaborating with multiple teams, and contributing to generative media research. The position offers competitive compensation and opportunities for international sponsorship.

Qualifications

• 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).
• Solid foundations in machine learning, representation learning, and modern deep learning techniques.
• Strong Python skills and experience with ML frameworks.

Responsibilities

• Architect and build Krea’s personalization and recommendation systems.
• Design algorithms to model user preferences.
• Build high-quality, curated feeds.
• Work with model and research teams on personalization mechanisms.
• Contribute to personalized image generation research.
• Collaborate with product, design, and research.

Skills

Building recommendation systems

Designing curated content experiences

Machine learning techniques

Python programming

Working with ML frameworks (e.g., PyTorch, JAX)

Operating independently

Job description

A leading AI creative tooling company in California is seeking an ML Engineer to create and manage their personalization and recommendation systems. The ideal candidate will have strong experience in building personalized feeds, proficiency in Python, and a solid foundation in machine learning. Responsibilities include shaping user experience through tailored content, collaborating with multiple teams, and contributing to generative media research. The position offers competitive compensation and opportunities for international sponsorship.