Krea
AI & Machine LearningDirect Ashby career site

Machine Learning Engineer

Location
San Francisco, CA · On-site
Job type
Full-time
Level
Senior
Listed
22 days ago

Skills & highlights for this role

  • diffusion models
  • distributed training
  • deep learning frameworks

Also useful

  • ControlNet
  • IPAdapter
  • high-performance computing clusters

Stated benefits & perks

  • Health
  • Dental
  • 401k match
  • Meals
  • Flexible pto

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
  • Competitive compensation: generous salary & equity packages
  • Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage
  • Time off: Flexible PTO policy
  • Financial planning: 401k with a 4% company-sponsored match
  • Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it
  • Transit: Ubers covered to & from the office
  • Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
  • And more!

Please note the above benefits & perks are for full-time employees

About Krea

At Krea, we are building next-generation AI creative tools.

We're dedicated to making AI intuitive and controllable for creatives - our mission is to build tools that empower human creativity, not replace it. We believe AI is a new medium that allows us to express ourselves through various formats - text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. We recently took this a step forward with the launch of Krea 2 our first foundation model, built completely from scratch for aesthetic diversity and stylistic control, and with Krea 3 - our new image editing model.

We've raised over $83M and are backed by world-class investors such as a16z, Bain Capital, and Abstract. We work full-time and in-person at our waterfront office in San Francisco. We care about creativity: our team includes musicians, designers, visual artists, and engineers.

Read the original posting

From Krea's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

Where is the Machine Learning Engineer job at Krea located?

This Machine Learning Engineer position at Krea is located in San Francisco, CA (On-site). Always check Krea's application page for specific state eligibility or relocation policies.

What qualifications are required for Machine Learning Engineer at Krea?

For the Machine Learning Engineer role, Krea highlights experience with diffusion models, distributed training, deep learning frameworks. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Machine Learning Engineer position at Krea?

This listing links directly to Krea's Ashby application page. You can apply directly on Krea's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.