Job Description

The Health Technology team is looking for an experienced Environmental Audio Signal Processing Research Engineer. The ideal candidate will have additional experience in the area of bio-medical applications of audio signatures and processing. A successful candidate in this role is self-driven, passionate, and be willing to execute consistently in a fast-paced environment. Strong communications skills are key as well given we interact and work with many internal and external engineering teams, partners, architects, and product management. This engineer will be tasked with establishing and delivering the roadmap of microphone-based ML efforts aimed at improving morbidity, mortality, cost, and inequity in health outcomes.

Environmental Audio Processing Research Engineer Responsibilities

* Define, then build new algorithms and add enhancements to existing algorithms to support machine listening and analysis of environmental noise

* Tune algorithms that are built in-house and by external partners to provide high fidelity monitoring performance with negligible audio artifacts and to pass performance goals

* Suggest, collect and synthesize requirements and create effective feature roadmap

* Collaborate closely with algorithm developers, SoC architects and designers to support the realization of the necessary hardware to enable innovative experiences

* Code deliverables in tandem with the engineering team

* Assess and recommend emerging technologies through close partnership with external, industry leading suppliers

* Analyze and improve efficiency of algorithms deployed to user devices

Minimum Qualifications

* Experience in one or more of the following areas: machine learning, pattern recognition, data mining or artificial intelligence

* Knowledge in Audio capture or render algorithms for consumer devices

* Proven technical skills in statistical analysis, scientific reasoning, and signal processing

* Proven understanding of the mathematical underpinnings of algorithms

* PhD in the field of machine learning, physics, audio signal processing, speech and language processing, computer science, or related fields

* Interpersonal skills: cross-group collaboration and cross-culture collaboration

* Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

* Experience with one or more of the following audio technologies: equalization, dynamic range compression automatic gain control, noise suppression, acoustic echo cancellation, microphone array processing and voice activity detection, speech and audio processing with bio-medical application

* PhD in Computer Science or related quantitative field with 5+ years of machine learning industry related work or research experience

* Experience with computational modeling of human behavior or behavior sensing

Locations

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