Remote Audio Inference Engineer, Model Efficiency

Jaide Health; San Francisco (CA); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Open and inclusive culture

Weekly lunch stipend

Full health and dental benefits

100% parental leave top-up

6 weeks of vacation

Job summary

Jaide Health is seeking an engineer specializing in audio machine learning systems in San Francisco. The role involves enhancing audio model serving metrics such as latency and quality while collaborating with various teams to integrate model development and deployment effectively. Candidates should have significant experience in audio inference systems and be proficient in C++ and Python, with knowledge of deep learning models for audio. The company provides a remote-friendly work environment with numerous benefits.

Qualifications

• 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.

Responsibilities

• Work on advancing core audio model serving metrics, including latency, throughput, and quality.
• Identify bottlenecks in systems and deliver creative solutions for audio processing and streaming workloads.
• Collaborate closely with training and serving infrastructure teams for seamless integration.

Skills

High-performance audio or machine learning inference systems

C++

Python

Deep learning models for audio, speech, or language applications

Tools

PyTorch

TensorFlow

Job description

Jaide Health is seeking an engineer specializing in audio machine learning systems in San Francisco. The role involves enhancing audio model serving metrics such as latency and quality while collaborating with various teams to integrate model development and deployment effectively. Candidates should have significant experience in audio inference systems and be proficient in C++ and Python, with knowledge of deep learning models for audio. The company provides a remote-friendly work environment with numerous benefits.