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!
About the RoleAs a Junior Machine Learning Engineer at Recraft, you will have the opportunity to work on real-world AI applications, gaining hands-on experience in model development, data collection, evaluation, and production deployment. You will collaborate with research scientists, engineers, and product teams to help enhance Recraft’s AI-driven creative tools.
If you are passionate about machine learning, deep learning, and AI-driven applications, this is a great opportunity to learn and contribute to impactful projects.
Key ResponsibilitiesAssist in training, testing, and evaluating machine learning models for real-world applications.
Support data collection and processing for model development.
Conduct experiments and model evaluations, helping improve accuracy and efficiency.
Develop and train large-scale generative models, pushing the boundaries of AI capabilities.
Work closely with ML engineers and researchers to implement AI techniques into production workflows.
Stay updated with the latest trends in AI and deep learning, contributing fresh ideas to the team.
Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, AI, or a related field.
Reliable Python coding skills.
Knowledge and understanding of foundational deep learning concepts, possibly in application to computer vision, NLP, or speech synthesis or recognition.
Experience with data preprocessing and model evaluation.
Familiarity with MLOps tools is a plus.
Strong analytical skills and ability to work in a collaborative, fast-paced environment.
English: B2+ (Upper-Intermediate or above), written and spoken.
Real ML work from day one — not toy tasks, but production systems that solve actual problems.
Close mentorship from engineers and researchers who've built and shipped AI at scale.
A front-row seat to how AI products grow: you'll see the full picture, not just your corner of it.
A team that debates ideas, moves fast, and genuinely enjoys what it builds.
Full-time, on-site in London — because the best breakthroughs still happen in the same room.
Skilled Worker visa sponsorship available for the right candidate.
