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Applied Research Scientist / Engineer

United States;United Kingdom, New York 200000.00 - 450000.00 USD / Year · Job Posted June 28, 2026
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Job Description

Luma's 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. 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. 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.

Job Responsibility

  • Work as a fullstack applied researcher across modeling, data, systems, and evaluation to adapt and deploy models to production
  • 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
  • Architect the data engine for rapid adaptation, leveraging proprietary, vertical-specific datasets to create specialized finetunes and improve future training recipes
  • 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

Requirements

  • Product-Obsessed Researcher/Engineer: You treat end users and partners as collaborators and enjoy solving specific “last mile” problems—not just optimizing public metrics.
  • ML Expert: Strong ML fundamentals with deep experience in visual generative models (diffusion/transformers or related architectures). Ideal candidates also have a deep understanding of at least one: fine-tuning, personalization, domain adaptation, data curation, targeted distillation, interpretability, or human-feedback-driven refinement.
  • Hands-On Builder: Strong Python and deep learning engineering skills (ideally PyTorch), comfortable moving between research prototypes and production systems.

Nice to have

  • Contributions to state-of-the-art models in image/video generation
  • Experience collaborating with creative partners (VFX, animation, film, design tools)
  • Track record building workflows/tools that materially improve iteration speed and evaluation rigor
  • Familiarity with large-scale training infrastructure and distributed systems (Ray, Slurm, Kubernetes)

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