About The Position
The voice of Siri is heard by hundreds of millions of people every day. Behind it is a production infrastructure of remarkable complexity, spanning recording projects on multiple continents, automated pipelines, and massive multilingual datasets that feed state-of-the-art models. The Siri Speech team is looking for a Principal Audio Engineer to own that infrastructure, set the technical standard, and keep pushing it forward.
Requirements
- 10+ years of hands-on experience in audio engineering or technical production, with a demonstrated progression of scope and responsibility across multiple disciplines.
- Deep expertise with Pro Tools and professional studio environments, including hardware setup, signal flow, acoustic optimization, and troubleshooting.
- Demonstrated ability to build or optimize production pipelines for scale and quality, including scripting or automation experience.
- Strong analytical skills with the ability to translate complex technical requirements into actionable production processes and standards.
- Excellent cross-functional collaboration skills; equally comfortable with creative directors, voice talent, and ML engineers.
- Ability to effectively teach about Studio Production workflows, technical requirements, and audio considerations to a variety of audiences, primarily studio recording engineers.
Nice To Haves
- Degree in Audio Production, Media Production, Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.
- Experience delivering ML-compatible audio datasets, including familiarity with training data and model interaction, metadata integrity, and format specifications for neural speech, LLM, and ASR pipelines.
- Hands-on experience with audio over IP systems such as Dante.
- Experience vetting and aligning distributed studio networks at global scale, including acoustic analysis and remediation.
- Familiarity with QA tooling, database-driven tracking systems, and lightweight frontend tooling for production workflows.
- Knowledge of machine learning concepts and their application in media content production pipelines.
- Experience with multilingual and multimodal media content production.
Responsibilities
- Own the end-to-end technical media production pipeline from performance capture through post-processing and ML-compatible delivery across languages, modalities, and global studio locations.
- Define and enforce audio technical specifications covering acoustic standards, signal chains, format requirements, and dataset integrity for downstream modeling.
- Serve as the technical authority on recording systems (DAWs, analog signal chain, audio-over-IP, studio hardware), with the ability to configure, troubleshoot, and upgrade independently.
- Engineer and continuously improve production workflows; build dashboards, asset trackers, and tooling to drive efficiency and visibility across the content pipeline.
- Lead large-scale data collection efforts for multimodal and multilingual AI models, and evaluate and vet partner recording facilities worldwide.
- Act as technical translator between creative directors, voice talent, and research/engineering teams to ensure production output meets quality and compliance requirements.
- Author operating procedures, quality standards, and acceptance criteria; evaluate and advocate for emerging tools and infrastructure to scale the studio's AI-powered capabilities.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Associate degree
