Join Krea as an ML Engineer to build personalization and recommendation systems that enhance creative AI tools.
Posted by employer 10 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 10 hours ago
Skills & Technologies
Role intensity
70% hands-on coding
AI in the day-to-day
We're building tools that empower human creativity through AI in various formats.
Requirements
- Experience
- 3+ years
- Visa
- Sponsorship available
Not disclosed in this posting: compensation.
Benefits
Joblaze summary
In this role, the ML Engineer will design and implement Krea's personalization and recommendation systems, focusing on understanding user preferences and curating content that aligns with individual aesthetics. Key skills include experience with recommendation systems, machine learning, and proficiency in Python and frameworks like PyTorch or JAX. This position is ideal for someone with a strong background in media-based personalization and a passion for creative tools, suited for mid to senior-level professionals. Krea's team is composed of diverse creatives, fostering an environment that values artistic expression alongside technical innovation.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on krea.ai's careers page October 27, 2026.
- Python appears in 47.7% of 482 comparable mid ai/ml roles in United States; representation learning appears in 0.2% of 482 comparable mid ai/ml roles in United States.
Quick facts
- Is the ML Engineer - Personalization & Recommendation Systems role remote?
- No — this is an on-site role in San Francisco.
- How much experience is required?
- At least 3 years of relevant experience for this ML Engineer - Personalization & Recommendation Systems role.
- Where is the role based?
- krea.ai is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Deep Learning, JAX, Machine Learning, PyTorch, Python, Recommendation Systems.
- Does krea.ai sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- krea.ai targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this ML Engineer - Personalization & Recommendation Systems role at krea.ai.
From the original posting
This role
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
Nice to have
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
Team: Work alongside a world-class team building the future of AI creative tooling
Impact: Significant scope and company-wide impact
Time off: Flexible PTO policy
And more!
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