Research Engineer – Multimodal Audio – 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
- at least PhD (or equivalent) research experience
- Experiences in large scale audio data processing, and transformer model training
- Strong engineering skills in deep learning frameworks of PyTorch
- Track record of releases, publications, and/or open source projects related to transformer model training
- Have a deep understanding of the ‘whole stack’ and track record of successfully owning projects from start to finish when it comes to designing, training, evaluating and deploying machine learning models, especially large language models.
Responsibilities
- Determine the type of training data we need, finding where we can collect it, and writing distributed data gathering pipelines to ingest data
- Develop new model architectures that push the state-of-the-art in terms of quality, scale, and inference speed
- Create new evaluations that capture different aspects of generative outputs
- Write fast inference algorithms to serve these models at scale
- Work with product teams to integrate feedback mechanisms into the product, which we use to improve the model
- Work with large scale multimodal datasets.
Preferred Qualifications
-
No preferred qualifications provided.