Research Engineer, Post-Training (All Industry Levels)Active$225K–$400K
The opportunity
Develop alignment algorithms and loss functions to improve data sample efficiency.
What you'll do
Develop alignment algorithms and loss functions to improve data sample efficiency.
Write data pipelines to process diverse web data into a format models can ingest.
Identify quality signals to understand our model’s performance in the real world.
Design sampling algorithms to improve serving efficiency of large generative models.
What they're looking for
- "All Industry Levels": have at least PhD (or equivalent)
- Write clear and clean production-facing and training code
- Experience working with GPUs (training, serving, debugging)
- Experience with data pipelines and data infrastructure
- Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)
- Track-record of exceptional research or creative applied ML projects
