Machine Learning Engineer
San Francisco, CAFull-timePosted 1y agoStill listed 3 days ago
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At a glance
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Job overview
Krea builds next-generation AI creative tools, focusing on intuitive, controllable solutions for text, images, video, sound, and 3D, with a mission to empower human creativity rather than replace it.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
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. 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.
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
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Train foundation diffusion models for image and video generation
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Train controllability modules such as IPAdapters or ControlNets
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Develop novel research techniques and put them into production
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Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets
What we're looking for
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Proven track record in working with image or video models at scale (publications or open-source contributions a plus)
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Strong background in deep learning frameworks and distributed training paradigms
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Ability to iterate rapidly, and propose creative research directions
What we offer
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Team: Work alongside a world-class team building the future of AI creative tooling
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Impact: Significant scope and company-wide impact
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Competitive compensation: generous salary & equity packages
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Health & wellness: 100% health & 99% dental/vision insurance premiums covered for employees, health FSA accounts, & long-term disability coverage
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Time off: Flexible PTO policy
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Financial planning: 401k with a 4% company-sponsored match
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Meals in the office: breakfast, lunch, dinner - you name it, we'll cover it
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Transit: Ubers covered to & from the office
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Sponsorship: We're open to sponsoring international visas where we can (e.g., STEM OPT, OPT, H-1B, O-1, E-3).
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And more!
Please note the above benefits & perks are for full-time employees
How this job compares
Set against the 6,168 open Machine Learning Engineer jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This postingNot listed
- California median$175–260K/yr1,355 salary ranges
- California median$48–78/hr32 hourly ranges
- Openings
- Olive Jobs lists 1,829 open Machine Learning Engineer jobs in California and 6,168 across the US. 7% of them nationwide are listed as remote or flexible.
- Experience
- Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (4,928 postings).
- Education
- 2,542 of the 6,168 open Machine Learning Engineer jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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