Recraft
Technology
MLDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“ML Data Engineer at Recraft. Skills: Data pipelines, Kubernetes, Unstructured data. Develop data-ingestion pipelines. Prepare large-scale image datasets”
What You'll Achieve.
Ship datasets that move model quality forward
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Python production-ready code, Hands-on Kubernetes experience, Unstructured data experience, Data-ingestion tools experience, S3/object storage experience, English B2+
Nice to Have
Familiarity with ML workflows, Experience with image quality scoring, DAG/workflow visualizations tooling, DevOps fluency
What You'll Do.
Develop data-ingestion pipelines
Prepare large-scale image datasets
Source datasets from public sources
Filter data for quality
Operate data-pipeline framework
Improve data-pipeline framework
Work with S3 object storage
Add tooling around pipelines
Visualize pipeline progress
Add metrics to pipelines
Add alerts to pipelines
Collaborate with ML engineers
Align datasets with training needs
Accelerate experimentation
How You'll Work.
Team & Collaboration
ML engineers
Full Job Description
ABOUT US Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 190+ countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you’re passionate about pushing the boundaries of AI, we want you on board! JOB DESCRIPTION At Recraft, we’re building the next generation of generative models across images and text. We’re looking for an ML Data Engineer to scale our data pipelines for unstructured data (primarily images) and keep our training flows fast, reliable, and repeatable. You’ll design and operate high-throughput ingestion and preprocessing on Kubernetes, evolve our internal data-pipeline framework, and work hand-in-hand with ML engineers to ship datasets that move model quality forward. KEY RESPONSIBILITIES - Develop and maintain data-ingestion pipelines to source and prepare large-scale image (and occasional text/HTML) datasets from open, publicly accessible, and permitted sources. - Own the end-to-end flow: raw data → quality/beauty/relevance filtering → dedup/validation → ready-to-train artifacts. Operate and improve our Kubernetes-based data-pipeline framework (distributed jobs, retries, monitoring, automation). - Work with S3-style object storage: efficient layouts, lifecycle, throughput, and cost awareness. - Add tooling ar
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