Ludwig Computing is focused on solving the energy efficiency problem of intelligent compute through innovative hardware and software solutions. They are seeking a hands-on ML Research Scientist to research, develop, and validate techniques for optimizing AI models, working closely with the founding team.
Responsibilities:
- Research, develop, and validate techniques to compress, optimize, and accelerate large AI models while preserving accuracy
- Move fluently between mathematical formulation and empirical validation — take a novel method, characterize its behavior and cost, and test it on real models
- Build high-quality prototypes in PyTorch (or a comparable framework) and the tooling needed to run, track, and reproduce experiments
- Establish rigorous baselines and design careful experiments and ablations that separate genuine gains from artifacts
- Read recent literature, distill it into concrete experiments, and report findings clearly
- Collaborate with the team to align algorithmic work with the broader platform