Audio Inference Engineer, Model Efficiency at Cohere
Confirmed open
Cohere is hiring a audio inference engineer, model efficiency focused on audio inference and model efficiency.
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Cohere- Location
- New York / San Francisco / Toronto / Montreal / United States
- Employment
- FullTime
- Work arrangement
- remote
- Technologies
- Python, C++, PyTorch, TensorFlow
Role overview
This role focuses on audio inference and model efficiency in a distributed engineering environment.
Responsibilities
- Design, build and operate systems for audio inference and model efficiency.
- Collaborate with product, research and engineering partners on reliable capabilities.
- Improve testing, performance, observability, automation and documentation.
- Translate customer or operational needs into maintainable production software.
Qualifications
- Professional experience in data, AI, platform or software engineering.
- Strong systems thinking, debugging and communication skills.
- Ability to collaborate across disciplines and ship reliable production systems.
Benefits
- Location and remote arrangement as stated in the official posting.
- Opportunity to work on data and AI products with an international engineering team.
About Cohere
Cohere develops technology products and services for its stated market.
How to apply
Review the original posting and apply through the employer’s careers page.
View source and applyApply directlySource checked: 2026-09-30
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