Overview:

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.
Identify and collect relevant data to create robust training and test datasets, including purchase/license opportunities, in-house collected data, and simulation of algorithms within pre-defined audio paths
Exploit machine learning and advanced DSP approaches to address challenges such as processing real-time, low latency data pipelines and right-sizing solutions
Survey literature and conduct original research and experiments to solve problems. Share findings and prototypes with colleagues, senior staff, and executives
Record findings, results, and notes in collaborative documentation tools, either independently or in collaboration with the team.
Contribute to intellectual property, participate in brainstorming, and encourage innovation in the group
Utilize in-house annotation tools and/or third-party partners
Adopt mature machine learning software engineering practices (e.g. shared toolkits, repos, experiment tracking).
Track industry/academia progress, attend training/conferences, and integrate advancements into work
Collaborate to solve specific problems, sometimes tangential to your expertise

Qualifications:

Education:
- Master’s degree in Electrical Engineering, Computer Science, Mathematics, Statistic, Physics, Data Science, Machine Learning, Music Technology or field related to research science
- PhD in Electrical Engineering, Computer Science, Mathematics, Statistic, Physics, Data Science, Machine Learning, Music Technology or field related to research science
Technical Skills:
- Proficiency in programming languages: Python required; C/C++ or Matlab also preferred
- Proficiency in leveraging frameworks and libraries including: PyTorch, Tensorflow, scikit-learn, NumPy, Matplotlib, etc.
- Proficiency in tools and technologies including: Git/GitHub, Docker, Jupyter Lab, AWS, OnPrem GPU training tools
Preferred Experience:
- Knowledge or experience with Speech enhancement algorithms
- Knowledge or experience with classical Digital Signal Processing
- Proficiency in developing low latency, embedded-friendly solutions
- Experience in Audio engineering, DAWs, recording, or other audio production.

WHO WE ARE

Shure’s mission is to be the most trusted audio brand worldwide – and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn’t stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all.

Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia.

Join Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence.

THE MIX MATTERS
Don’t check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you’re excited about this role, believe you’ve got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply!

PAY TRANSPARENCY
Shure offers a competitive compensation structure that is reviewed annually to attract, hire, and retain the industry’s top talent. Base salaries vary based on qualifications, geography, experience, and expertise in each respective discipline. The range displayed on each job posting reflects the minimum and maximum base salary for the opportunity. The base salary for this position ranges from $90,000 to $144,000. If your salary expectations do not align, still apply as we are often flexible on the seniority of posted positions. All positions also include an award-winning benefits package.

WE GOT YOU - Our Benefits
At Shure, we prioritize the well-being of our Associates. We offer competitive rewards packages to full-time and part-time Associates working 24 or more hours a week that address physical, mental, financial, and overall well-being. Our benefits include comprehensive healthcare, mental health and retirement savings plans, generous paid time off programs, employee discounts, professional development opportunities, work-life balance initiatives, employee recognition programs, and volunteering/community involvement opportunities. To learn more, check out our Benefits At A Glance 2025.

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Applied Research Science Engineer (Audio ML)

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