PRF·0016
Audio Inference Engineer, Model Efficiency
Summary
Cohere is hiring a Audio Inference Engineer, Model Efficiency in New York. The role focuses on graphics, gpu & compute.
Responsibilities as stated
- The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques.
- You’ll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.
- Significant experience developing high-performance audio or machine learning inference systems.
Location, employment, and compensation
- Location. New York, San Francisco, Toronto, Montreal — remote
- Employment. unknown
- Compensation. Not stated on the source. NearMetal does not estimate compensation.
- How to apply. On the company’s own posting. NearMetal does not accept applications.
Why this is filed as systems software
- The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques.
- You’ll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference.
- Significant experience developing high-performance audio or machine learning inference systems.
Source and corrections
This summary was written from the company’s own posting. NearMetal does not reproduce the full description and does not accept applications.