About Luma AI Lumas mission is to build multimodal AI to expand human imagination and capabilities We believe that multimodality is critical for intelligence To go beyond language models and build more aware capable and useful systems the next step function change will come from vision So 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 About the Role This is a foundational opportunity to refine personalize and build the final capabilities and control interface of Lumas foundation models and drive realworld value Youll sit at the intersection of research product and partnerships helping close the gap between stateoftheart and productionready Your mission is to make our video foundation models more expressive controllable and personalized solving the last mile challenges demanded by toptier creative workflows What Youll Do You will work as a fullstack applied researcher across modeling data systems and evaluation to adapt and deploy models to production Controllability and Features You will leverage a toolkit spanning SFT RL personalization distillation control adapters and more to develop and maintain model variants purposebuilt for user environments and creative partners Personalization Architect the data engine for rapid adaptation You will leverage proprietary verticalspecific datasets to create specialized finetunes and improve future training recipes ensuring our models rely on data that reflects realworld use cases EndUser Quality You will define and drive enduser quality setting success metrics building useraligned evaluations and iterating on the modeldataevals loop to meetamp strict fidelity and reliability targets in specific enterprise verticals Crossfunctional Collaboration Partner closely with Product Research and Design to translate creative intent and user feedback into model behavior intuitive controls and productionready capabilities for users and partners Who You Are ProductObsessed ResearcherEngineer You treat end users and partners as collaborators and enjoy solving specific last mile problemsnot just optimizing public metrics ML Expert Strong ML fundamentals with deep experience in visual generative models diffusiontransformers or related architectures Ideal candidates also have a deep understanding of at least one finetuning personalization domain adaptation data curation targeted distillation interpretability or humanfeedbackdriven refinement HandsOn Builder Strong Python and deep learning engineering skills ideally PyTorch comfortable moving between research prototypes and production systems Bonus Points Contributions to stateoftheart models in imagevideo generation Experience collaborating with creative partners VFX animation film design tools Track record building workflowstools that materially improve iteration speed and evaluation rigor Familiarity with largescale training infrastructure and distributed systems Ray Slurm Kubernetes
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