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 200 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

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.

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.
  ‍

• 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.
  ‍