Home › Companies › Krea › Machine Learning Engineer
Machine Learning Engineer
Krea · San Francisco · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Krea |
| Title | Machine Learning Engineer |
| Normalized title | - |
| Department / team | Research / Research |
| Location | San Francisco, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Krea. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Research. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Krea |
| Source | 6a2d95c1-71fc-45c5-a54a-c6ab1c783f67 |
| ATS provider | Ashby |
Description
About Krea
At Krea, we are building next-generation AI creative tools.
We are 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.
This job
We're looking for a machine learning engineers who can work on large-scale image and video models training experiments..
Some stuff you can 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
Example experience and skills 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
A bit more about us
We’ve raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.
Full job record
| Job ID | 45f22df7e21854863f9808a7a14517a983f1befd |
| Org ID | 24c54dc4-b6c5-41db-90a3-7bcef02a3333 |
| Source ID | 6a2d95c1-71fc-45c5-a54a-c6ab1c783f67 |
| Board ID | 6a2d95c1-71fc-45c5-a54a-c6ab1c783f67 |
| Provider | ashby |
| Provider Job Key | 06a135f6-fb4c-446c-ac99-be1af655b964 |
| Title | Machine Learning Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco |
| Department | Research |
| Team | Research |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/krea/06a135f6-fb4c-446c-ac99-be1af655b964 |
| Apply URL | https://jobs.ashbyhq.com/krea/06a135f6-fb4c-446c-ac99-be1af655b964/application |
| First Seen At | 2026-05-29 05:49:34Z |
| Last Seen At | 2026-06-06 20:37:53Z |
| Last Checked At | 2026-06-06 20:37:53Z |
| Last Changed At | 2026-05-29 05:49:34Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=krea/date=2026-06-06/2026-06-06T20-37-51-606Z-4861fb8026c5f4375b95755ad5a1e992b57fd73f713b072d6ae1d14928789581.json |
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