This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. We're looking for full stack engineers who are passionate about AI tooling, have a strong product sense, and enjoy working at the intersection of research and usability. You'll be part of Luma's applied research team and build interfaces, pipelines, and services that bring the latest model capabilities directly into the hands of creators.
Job Responsibility:
Build web-based tools and UIs that make advanced model behavior feel intuitive and usable
Design and implement pipelines for model training, fine-tuning (e.g., LoRA), and real-time inference
Collaborate with Research and Technical Art teams to prototype new workflows grounded in evolving model capabilities
Extend and integrate open-source frameworks like ComfyUI to fit internal and client-specific use cases
Contribute to both internal experimentation tooling and external-facing production features
Support productization efforts for enterprise and B2B applications involving multimodal AI
Requirements:
5+ years of experience in software engineering, ideally across both backend and frontend systems
Strong Python and JavaScript/TypeScript skills
fluency in modern web frameworks (e.g., React, Next.js)
Familiarity with ML pipelines and GPU-based compute (e.g., PyTorch, ffmpeg, SLURM/Kubernetes)
Experience with training and deploying models (LoRA, ControlNet, diffusion models a plus)
Passion for building usable, elegant tools for technical artists, researchers, or creative professionals
Nice to have:
Experience with LoRA, ControlNet, or real-time AI media generation
Tools that shipped between R&D prototypes and production-quality software
Interfaces or systems that helped non-engineers leverage AI models creatively