# Audio Inference Engineer, Model Efficiency at Cohere

- Company: Cohere
- What the company does: Backed by AI Grant.
- Company website: https://cohere.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: New York
- Work setup: Remote
- Posted: 2025-11-07
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/cohere/e912d84c-8399-422d-8a7d-918422a3e4b1
- Page: https://www.1752.vc/careers/jobs/cohere-audio-inference-engineer-model-efficiency/

## About the role

Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads.

## What they're looking for

- Significant experience developing high-performance audio or machine learning inference systems
- Proficiency with programming languages such as C++ and Python
- Hands-on experience with deep learning models for audio, speech, or language applications
- A bias for action and a strong results-oriented mindset
- GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs
- Have experience with duplex real-time streaming architectures

Tags: Modeling