Research Engineer - Applied Research

• Develop and maintain model variants purpose-built for specific product features and partner applications - adapting architectures, datasets, and fine-tuning strategies
• Drive continual improvements to Luma's core model-powered experiences, leading iterations that push quality, reliability, and creative depth across versions
• Collaborate closely with Product, Research, and Design to translate creative intent and user feedback into refined model behavior, intuitive controls, and new capabilities
• Build internal tools and workflows that accelerate model iteration and evaluation - enabling faster experimentation, deeper insight, and tighter feedback loops
• Contribute to applied research in safety, authenticity, and control - spanning topics like moderation, watermarking, fairness, and color science

• Strong engineering skills in Python and deep learning frameworks (preferably PyTorch)
• comfortable moving between research prototypes and production systems
• Hands-on experience with modern visual generative models (diffusion, transformers, or related architectures)
• Demonstrated ability to tune, refine, and deploy models in real products using human feedback and creative evaluation
• Curiosity and passion for multimodal AI - understanding how models perceive, generate, and evolve in the wild

Familiarity with large-scale training infrastructure (e.g., SLURM, Ray, or Kubernetes)