Research engineers build the systems that make Same intelligent. Often that involves staring down ambiguous research problems. And inventing clever techniques for solving them.
Sample projects include...
- Training the world's best next-action-prediction and apply models
- Inventing inference tricks for faster code edits
- Creating retrieval models and PL techniques to solve codebase awareness
You might be a fit if...
- You've trained and served state-of-the-art models.
- You're unfazed hunting down kernel-level memory leaks on large-scale MOE runs.
- You love using the most productive tool for the job, whether that be creating a model, leveraging an existing one, or something other than ML entirely.