Engineer Sr, Applied Research Science

Shure Incorporated; Niles (IL); Hybrid; USD 116,000 - 185,000; Full time

Job summary

Shure Incorporated, based in the United States, is seeking a Senior Engineer in Applied Research Science to advance AI/ML and audio processing solutions. You will translate research into prototypes and product-ready algorithms, collaborating with software, DSP, data, and test teams to tackle real-world customer challenges.

This hybrid role resides at our Niles, IL headquarters, offering opportunities to publish, prototype, and deploy low-latency audio systems while shaping next-generation

Qualifications

• Bachelor's degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with minimum 5 years of related experience
• Master's degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with minimum 3 years of related experience
• PhD in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; without work experience
• 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
• Proficiency in tools and technologies including: Git/GitHub, Docker, Jupyter, AWS, OnPrem GPU training tools
• Experience in audio classification and scaling audio classification frameworks for efficient development and maintenance
• Experience using AI-assisted software development and research tools to improve engineering productivity and solution development
• Independently Deploying, validating, and demonstrating early Proof of Concept machine learning
• Knowledge or experience with classical Digital Signal Processing
• Proficiency in developing low latency, embedded-friendly solutions
• Audio engineering, recording, or other audio production (DAWs)

Responsibilities

• Collaborate with cross-functional teams to research, design, and implement cutting-edge audio features and products.
• Ideate with colleagues and partners to identify high-value AI/ML use cases for customers.
• Review literature and conduct original research and experimentation to solve complex technical problems.
• Define model and algorithm requirements with engineers and product managers.
• Develop and train custom machine learning models and algorithms for audio applications.
• Evaluate models against performance metrics and conduct listening tests as needed.
• Build prototypes using ML and DSP techniques for real-time, low-latency data.
• Collect and simulate data to create robust training and test datasets.
• Annotate data using internal tools and external partners.
• Advance engineering practices with shared toolkits, experiment tracking, and scalable research.

Skills

Python programming

ML concepts

Embedded systems

Communication

Education

Bachelor's degree in EE/CS/Math/Data Science

Master's degree in related field

PhD in related field

Tools

PyTorch

TensorFlow

scikit-learn

NumPy

Matplotlib

Git/GitHub

Docker

Jupyter

AWS

OnPrem GPU training tools

Job description

Overview

Join Shure's Signal Processing and Applied Research team and help explore the future of intelligent audio.

As a Senior Engineer in Applied Research Science, you'll research and develop innovative AI/ML and advanced algorithmic solutions aimed at solving complex, real-world customer challenges.

You'll be working alongside software, signal processing, data, and test engineers, where you will investigate emerging technologies, develop and demonstrate new approaches, and help bridge the gap between research, experimentation, and product innovation. This is an opportunity for someone who enjoys tackling difficult technical problems and seeing ideas move from concept and prototype toward real-world application.

This hybrid position is based at our Niles, IL headquarters.

Responsibilities

• Collaborate: Partner with cross-functional teams to research, design, and implement cutting-edge audio features and products.
• Ideate: Collaborate with colleagues, stakeholders, and engineering partners to identify high-value AI/ML use cases for customers, while exploring opportunities to optimize, scale, and platform solutions.
• Conduct Research: Review relevant academic and industry literature and conduct original research and experimentation to solve complex technical problems. Share findings, insights, and prototypes with colleagues, senior leaders, and executives.
• Define Model & Algorithm Requirements: Work closely with engineers and product managers to establish and document performance metrics, system constraints, technical requirements, and architectural options.
• Develop & Train Models: Design and train custom machine learning models and algorithms for audio applications, including single- and multi-channel audio processing, speech enhancement, and related functionality. Optimize models for latency, computational efficiency, and deployment requirements, partnering with software engineers to improve overall performance.
• Evaluate Performance: Assess models and algorithms against established performance metrics, refine and fine-tune solutions, and conduct subjective listening tests when appropriate to complement objective evaluation.
• Build Prototypes: Apply machine learning and advanced digital signal processing (DSP) techniques to develop prototypes and solve challenges involving real-time, low-latency data pipelines, computational constraints, and appropriately sized solutions.
• Collect & Simulate Data: Identify, acquire, collect, and generate problem-relevant data to create robust training and test datasets. Sources may include licensed or purchased datasets, internally collected data, and simulations of algorithms within predefined audio paths.
• Annotate Data: Support the creation of high-quality datasets through internal annotation tools and third-party annotation partners.
• Advance Engineering Practices: Apply and strengthen machine learning software engineering practices, including shared toolkits, code repositories, experiment tracking, and other approaches that support repeatable and scalable research.
• Stay Current: Monitor advancements across industry and academia, participate in relevant training and conferences, and identify opportunities to incorporate emerging research, technologies, and techniques into your work.
• Participate in Working Groups: Contribute to collaborative technical working groups focused on solving problems across specific areas, including topics that may extend beyond your primary area of expertise.
• Document Research: Clearly document research methods, experiments, findings, results, and technical insights using collaborative documentation tools, both independently and in partnership with the broader team.
• Innovate & Invent: Contribute to intellectual property development, participate in technical brainstorming, and help foster a culture of experimentation and innovation across the organization.

Qualifications

• Bachelor's degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with minimum 5 years of related experience
• Master's degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with minimum 3 years of related experience
• PhD in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; without work experience
• 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, AWS, OnPrem GPU training tools
• Experience with any of the following highly desirable:
• Experience in audio classification and scaling audio classification frameworks for efficient development and maintenance
• Experience using AI-assisted software development and research tools (e.g., GitHub Copilot, agentic AI systems, large language models, code generation and analysis tools) to improve engineering productivity and solution development.
• Independently Deploying, validating, and demonstrating early Proof of Concept machine learning
• Knowledge or experience with classical Digital Signal Processing
• Proficiency in developing low latency, embedded-friendly solutions
• Audio engineering, recording, or other audio production (DAWs).

Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas.

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.

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 $115,600 to $185,000. 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 that address physical, mental, financial, and overall well-being.

• 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
• volunteering/community involvement opportunities

To learn more, check out our Benefits At A Glance.

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