Luma AI is seeking a Research Engineer to design and scale the infrastructure that powers model evaluation efforts, focusing on generative AI and multimodal outputs.
Requirements
- Master's or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent industry experience)
- 3+ years of experience building ML evaluation systems, model pipelines, or large-scale infrastructure
- Hands-on experience working with visual data (images and/or video), including evaluation, modeling, or data preparation
- Proficiency in Python and ML frameworks (PyTorch, JAX, or TensorFlow)
- Familiarity with human-in-the-loop evaluation workflows and how to scale them with automation
- Strong background in machine learning, with experience in generative models (diffusion, LLMs, multimodal architectures)
- Strong software engineering skills (CI/CD, testing, data pipelines, distributed systems)