Lumalabs Ai
Applied Research Scientist / Engineer
New York, USA
Sponsorship not specifiedDetected 30 days ago
PythonDistributed SystemsFull-Stack DevelopmentKubernetesMachine LearningDeep LearningPyTorchNLPResearchCollaboration
About the role
- You'll sit at the intersection of research, product, and partnerships, helping close the gap between state-of-the-art and production-ready.
- Your mission is to make our video foundation models more expressive, controllable, and personalized - solving the "last mile" challenges demanded by top-tier creative workflows.
Responsibilities
- Controllability and Features: You will leverage a toolkit spanning SFT, RL, personalization, distillation, control adapters, and more, to develop and maintain model variants purpose-built for user environments and creative partners.
- You will leverage proprietary, vertical-specific datasets to create specialized finetunes and improve future training recipes, ensuring our models rely on data that reflects real-world use cases.
- End-User Quality: You will define and drive end-user quality - setting success metrics, building user-aligned evaluations, and iterating on the model/data/evals loop to meet strict fidelity and reliability targets in specific enterprise verticals.
- Cross-functional Collaboration: Partner closely with Product, Research, and Design to translate creative intent and user feedback into model behavior, intuitive controls, and production-ready capabilities for users and partners.
- You will leverage a toolkit spanning SFT, RL, personalization, distillation, control adapters, and more, to develop and maintain model variants purpose-built for user environments and creative partners.
- You will define and drive end-user quality - setting success metrics, building user-aligned evaluations, and iterating on the model/data/evals loop to meet strict fidelity and reliability targets in specific enterprise verticals.
- Partner closely with Product, Research, and Design to translate creative intent and user feedback into model behavior, intuitive controls, and production-ready capabilities for users and partners.
- This is a foundational opportunity to refine, personalize, and build the final capabilities and control interface of Luma's foundation models and drive real-world value.
- About Luma AI Luma's mission is to build multimodal AI to expand human imagination and capabilities.
- About the Role This is a foundational opportunity to refine, personalize, and build the final capabilities and control interface of Luma's foundation models and drive real-world value.
Requirements
- ML Expert: Strong ML fundamentals with deep experience in visual generative models (diffusion/transformers or related architectures).
- Familiarity with large-scale training infrastructure and distributed systems (Ray, Slurm, Kubernetes).
Benefits
- To go beyond language models and build more aware, capable, and useful systems, the next step function change will come from vision.
- Strong Python and deep learning engineering skills (ideally PyTorch), comfortable moving between research prototypes and production systems.
- Bonus Points Contributions to state-of-the-art models in image/video generation.
Company info
- 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.
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This listing is sourced directly from Lumalabs Ai's careers page and normalized into a canonical job model.