Research Engineer – Post-Training – All Industry Levels
| Company | Character.AI |
|---|---|
| Location | San Carlos, CA, USA, New York, NY, USA |
| Salary | $225000 – $400000 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 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
Responsibilities
- 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.
Preferred Qualifications
- Experience with product experimentation and A/B testing
- Experience training large models in a distributed setting
- Familiarity with ML deployment and orchestration (Kubernetes, Docker, cloud)
- Publications in relevant academic journals or conferences in the field of machine learning