ML Engineer II: Perceptual Audio Evaluation

Crystal Equation Corporation; Redmond (WA); On-site; USD 92,000 - 99,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision/life insurance

401K

Parental leave

Job summary

Crystal Equation Corporation in Redmond, WA is seeking a Machine Learning Engineer II focused on perceptual audio evaluation to own production ML models, inference services, and evaluation pipelines.

You’ll integrate models into internal tools, maintain always-on capacity, monitor traffic, and collaborate with audio engineers, SDEs, and researchers. A strong background in Python and PyTorch, plus audio knowledge, is required.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent practical experience.
• Proficiency in Python and a deep-learning framework such as PyTorch.
• Knowledge of Machine Learning concepts and ML engineering practices.
• Basic knowledge of audio and signal processing.
• Ability to work independently.

Responsibilities

• Own a family of deep-learning models end to end: architecture, checkpoints, evaluation pipelines, serving infrastructure, and failure modes.
• Integrate these models into internal and XFN tools and workflows via API/endpoint integration and web UI onboarding.
• Operate always-on model inference capacity: monitor traffic, resolve throttling, tune auto-scaling, request additional capacity, redeploy, and elevate to platform owners as needed
• Run analysis and interpret model evaluations on request, apply minor bug fixes and preprocessing changes, and manage version bumps and checkpoint swaps
• Communicate with and support model users and tooling owners across various domains including audio engineers, SDEs, research scientists, TPMs etc.
• Serve as oncall for the covered services.

Skills

Python

PyTorch

ML concepts

Audio knowledge

Independent work

Education

Bachelor's degree in CS/EE or related field

Master's/PhD preferred

Tools

Internal ML platform tooling

Web front ends

Job description

Crystal Equation Corporation in Redmond, WA is seeking a Machine Learning Engineer II focused on perceptual audio evaluation to own production ML models, inference services, and evaluation pipelines.

You’ll integrate models into internal tools, maintain always-on capacity, monitor traffic, and collaborate with audio engineers, SDEs, and researchers. A strong background in Python and PyTorch, plus audio knowledge, is required.