About Luma AI Lumas mission is to build multimodal AGI Through our research on video 3D and now multimodal models at Luma we believe that AI needs to be jointly trained over all signal modalities text video audio images analogous to the human brainamp To advance our mission we build and operate the full stack endtoend spanning foundation models inference systems and products This integrated approach powers technologies like Ray3 which is seeing rapidly growing adoption among Fortune 500 companies across media entertainment and advertising Backed by a recent 900M Series C and our partnership with Humain to build a 2 GW compute supercluster Project Halo our models and the Dream Machine platform are now enabling creatives worldwide to tell some of the most impactful stories of our time Where You Come In This is a rare and foundational opportunity to define the future of multimodal AI You will be at the forefront of building and training largescale multimodal models directly impacting how users interact with pixels This role offers the chance to bridge cuttingedge research with magical shipped products working endtoend on novel problems with no existing playbook What Youll Do This opportunity involves both the science and engineering parts of research two aspects that are of equal importance This is a multistack opportunity where you will work on the intersection of modeling data systems and evaluation Modeling Architect largescale multimodal agentic models that use reasoning planning coding and tool calling to achieve complex multistep multimodal work Data Hillclimbing existing tasks and formulating new tasks through data Design implement and run robust data pipelines for constructing enriching and filtering massive pixel datasets Systems Train largescale multimodal models on massive datasets and GPU clusters Evaluation Define and build novel evaluation frameworks to measure multimodal agents Who You Are Strong foundation in machine learning foundation models and agentic systems Deep understanding of agentic systems and approaches in LLMVLM reasoning coding models LLMVLM tool calling Handson experience with PyTorch and largescale training distributed mixed precision large datasets What Sets You Apart Bonus Points Experience in the following around data modeling or evaluation Stateoftheart foundation models in reasoning Stateoftheart foundation models in coding Stateoftheart foundation models in tool calling Stateoftheart multimodal agents Your application are reviewed by real people
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