Why This Role Stands Out
This Senior/Staff ML Engineer role at Recraft offers a unique opportunity to shape the future of AI-powered creativity and contribute to a rapidly growing, globally recognized platform. You'll thrive here if you're passionate about pushing the boundaries of generative AI, developing large-scale models, and collaborating in an innovative environment. Apply now to make a significant impact in the world of AI and design!
Quick Overview
Job Description
Recraft is a graphic design research lab building state-of-the-art image generation models and tools for designers, illustrators, marketers, and developers.
Founded in 2022 and based in London, we build for commercial design standards: full creative control, style consistency, and native vector outputs, an API for teams who want to integrate that capability directly into their workflows, plus mobile app for those who prefer not to be distracted from the process without a computer.
Over 3 million creators across 190+ countries use Recraft. Our mission is to help everyone who works with visuals get the job done, without lowering the bar on design.
If you want to help set that standard, we'd like to hear from you.
Job Description
We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production-level deployment, this role offers the opportunity to work at the forefront of generative AI innovation.
Key Responsibilities
Develop and train large-scale generative models, pushing the boundaries of AI capabilities.
Design and run experiments to explore and refine model architectures, analyze results, and implement data-driven improvements.
Continuously innovate by developing and deploying new features that enhance user experiences.
Requirements
Proven experience in training large-scale generative models (e.g., image generation, audio synthesis, or large language models).
Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics.
Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures.
Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving.
Strong software engineering skills, ability to design, implement and maintain high-quality code.
English: B2+ (Upper-Intermediate or above), written and spoken.
What We Offer
Competitive salary and equity.
Opportunities for professional growth and leadership.
A collaborative, research-driven environment.
The chance to work on cutting-edge AI projects that redefine creative workflows.
The opportunity to contribute to open-source AI research and publications.
Full-time, on-site role.
We’re able to offer Skilled Worker visa sponsorship in the UK for qualified candidates.
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