Join Krea.ai as a Machine Learning Engineer to work on innovative AI tools for creatives in a collaborative environment.
Posted by employer 1 year ago
First seen on Joblaze 1 month ago
Last verified on the company career page 12 hours ago
Skills & Technologies
AI in the day-to-day
We're building next-generation AI creative tools to empower human creativity.
Requirements
- Visa
- Sponsorship available
Not disclosed in this posting: compensation, seniority, years of experience.
Benefits
Joblaze summary
In this role, the machine learning engineer focuses on training large-scale image and video models, including foundation diffusion models and controllability modules. Proficiency in deep learning frameworks and experience with distributed training are essential, along with a knack for rapid iteration and innovative research. This position is ideal for someone with a strong background in image or video modeling, looking to contribute to a creative team dedicated to advancing AI tools. Krea.ai's environment fosters collaboration among diverse talents, enhancing the creative potential of AI.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on krea.ai's careers page October 29, 2026.
- AI/ML appears in 45.6% of 1768 comparable ai/ml roles in United States; image generation appears in 0.1% of 1768 comparable ai/ml roles in United States.
Quick facts
- Is the Machine Learning Engineer role remote?
- No — this is an on-site role in San Francisco.
- 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: AI/ML, Deep Learning, distributed training, image generation, video generation.
- Does krea.ai sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- Is this full-time or contract?
- Full-time for this Machine Learning Engineer role at krea.ai.
From the original posting
This role
We're looking for a machine learning engineers who can work on large-scale image and video models training experiments.
What you'll do
Train foundation diffusion models for image and video generation
Train controllability modules such as IPAdapters or ControlNets
Develop novel research techniques and put them into production
Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets
What we're looking for
Proven track record in working with image or video models at scale (publications or open-source contributions a plus)
Strong background in deep learning frameworks and distributed training paradigms
Ability to iterate rapidly, and propose creative research directions
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!
Standard company text repeated across krea.ai's postings is omitted here.