Audio Software Engineer II # 26-25179

Contract Duration: 12 Months

Role Description:

Location: Redmond WA Sunnyvale CA - ONSITE Role

Summary:
Own and sustain a family of production machine learning models. Day to day responsibilities include: maintain ML models inference services and evaluation pipelines integrate models into internal tools and support the users and tooling owners using models.

Tech Stack: Python PyTorch Jupyter/Bento Model-serving and always-on inference capacity REST/GraphQL-style endpoints and a lightweight web UI

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 escalate 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.

Minimum Qualifications:

• Bachelors degree in Computer Science Electrical Engineering or a 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

Preferred Qualifications:

• Masters or PhD degree in Electrical Engineering Audio Engineering Speech or Signal Processing Acoustics Computer Science or a related technical field.
• 2 years of hands-on experience deploying and maintaining machine learning models in production. Experience operating production services including oncall ticket queues runbooks access management and escalation
• Working familiarity with audio concepts (waveforms sample rate spectrograms) sufficient to sanity-check model outputs
• Excellent communication skills with nonML audience including audio engineers and scientists.
• Experience with audio speech or perceptual quality models (e.g. MOS prediction)
• Experience developing lightweight web front ends

Note:

• Must-Have Hard Skills:Python (PyTorch) ML Concept & Engineering Practices Audio & Signal Processing
• Good-to-Have Skills: Audio/Speech/Perceptual Quality Models Audio concepts like waveforms spectrograms sample rate
• Interview Process: 2 Rounds Technical Behavioral/Discussion on past projects

About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions please visit .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race colour religion sex sexual orientation gender identity national origin disability or status as a protected veteran.

AI Statement: By applying you acknowledge that AI-assisted tools may be used during hiring.

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