Senior ML Research Engineer

About the company

The company is developing a next-generation AI tool tailored for professional designers, illustrators, and marketers, setting a new standard in image generation. Its platform empowers creators to quickly produce and iterate on original images, vector art, illustrations, icons, and 3D graphics using AI. Trusted by industry leaders like Netflix, Asana, and Airbus, the platform is used by over 3 million users in 200+ countries, with more than 350 million images created to date.

The company’s mission is to become an essential, daily tool for every designer, giving creators full control over their creative process. It is focused on delivering innovative features that support large-scale creative projects and redefine the future of design with AI.

About the role

The company is looking for Senior ML Research Engineer who is passionate about generative AI and eager to work on cutting-edge technologies that push the boundaries of what's possible in AI-driven creativity. In this role, you'll help build, improve, and launch large AI models. 

What you'll do

• Design and improve large-scale generative models (e.g., image generation, audio synthesis, or large language models), going beyond existing open-source solutions.
• Set up and conduct a large number of experiments and hypothesis tests, with a strong focus on iterative research and learning from failed attempts.
• Build full-cycle ML pipelines: from data collection and preprocessing to model training, validation, and evaluation.
• Write clean, scalable code and ensure models meet production quality standards.
• Collaborate closely with the team — share ideas, review approaches, and take initiative in developing new solutions.

Who we look for

• Solid experience in training large-scale generative models, such as image generation, audio synthesis, or LLMs.
• Experience in evaluating generative models, with a deep understanding of qualitative and quantitative metrics.
• Strong hands-on skills with PyTorch and familiarity with modern neural network architectures.
• Proven ability to build end-to-end ML pipelines — from data collection and preprocessing to model training, evaluation, and deployment.
• Strong software development background with a focus on writing clean, production-ready code.

What we offer

• Full-time, office-based position in London.
• Relocation support available for non-UK candidates.
• Competitive salary.
• Flexible working hours.
• Paid vacations (26 working days per year).
• Opportunities for professional growth and development.
• A supportive and collaborative work environment.
• The chance to work on exciting projects and make a significant impact on our brand.