ML Engineer - Personalization & Recommendation Systems

Krea.ai, Inc

$120K — $180K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in building recommendation systems or personalized feeds from scratch
  • Proven track record of designing and delivering high-quality curated content experiences
  • Experience in media-based personalization, specifically with images and video
  • Solid grasp of machine learning, representation learning, and deep learning techniques
  • Strong Python programming skills and experience with ML frameworks like PyTorch or JAX
  • Ability to work independently and make architectural decisions for complex systems

Responsibilities

  • Architect and develop Krea's personalization and recommendation systems from the ground up
  • Design algorithms that model user preferences for individual aesthetics
  • Create high-quality curated feeds that emphasize exploration and aesthetic coherence
  • Collaborate with model and research teams to enhance generative learning mechanisms
  • Contribute to research on personalized image generation focusing on style and subjective quality
  • Define 'good personalization' in a creative context with cross-team collaboration
  • Move projects from research and prototyping phases into production with ongoing improvements

Benefits

  • Openness to sponsoring international candidates for various work visas
  • Opportunity to work with a world-class team on innovative AI creative tools
  • Significant scope for impacting company-wide objectives
  • Competitive compensation with equity options, ranking in the 75th percentile of the market
Full Job Description
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

Bonus points
  • Experience with large-scale data systems and production ML infrastructure
  • Prior work on or familiarity with diffusion models or generative image systems
  • Background in embeddings, similarity search, ranking, or aesthetic evaluation
  • Interest in creative tools, art, design, or generative media

What we offer
  • Openness to sponsoring international candidates (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
  • Work alongside a world-class team building the future of AI creative tooling.
  • Significant scope and company-wide impact.
  • Competitive compensation (75th percentile of market) with meaningful equity.

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