Applied Research Science Engineer (Audio ML)

About this role

As an
Applied Research Science Engineer (Audio ML)
within
Shure’s Signal Processing and Applied Research Science
team, you will play a pivotal role in shaping the future of audio technology. This position focuses on developing sophisticated customer-facing audio solutions by leveraging cutting-edge AI/ML techniques and advanced algorithmic innovations.


In this cross-functional role, you’ll collaborate with experts in software engineering, signal processing, data science, and testing, as well as work closely with teams across the organization. Your mission will be to explore, prototype, and integrate emerging technologies into Shure’s product ecosystem—ensuring our solutions remain at the forefront of innovation and deliver exceptional audio experiences.


This position will be hybrid out of our Niles, IL HQ or open to remote for a highly qualified candidate!
Responsibilities

- Work as part of a cross-functional team to create, design & implement cutting-edge audio features and products
- Collaborate with colleagues, other engineers, and product managers to identify and document performance metrics and architectural options
- Brainstorm with colleagues, stakeholders, and other engineers to identify valuable use cases for Shure customers empowered by AI/ML and optimize and platform solutions.
- Design custom machine learning models and algorithms targeting audio functionality (single and multi-channel audio processing algorithms, speech enhancement, music enhancement, audio classification, etc.) within latency/computation constraints. Transform and optimize models to support implementation requirements. Work with Software Engineers to identify and optimize input features, frame rates, model structures, and other characteristics that impact algorithmic performance.
- Measure model/algorithm performance against identified metrics and fine-tune to optimize outcomes. Conduct subjective listening tests to balance results with objective results.
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