Engineer Associate Staff, Applied Research Science

Join Shure's Signal Processing and Applied Research Science team as an Associate Staff Engineer and help shape the future of audio technology.

In this dynamic role, you'll drive innovation by developing advanced AI/ML algorithms and cutting-edge signal processing solutions that elevate the performance of Shure products. You'll collaborate across disciplines-working closely with software engineers, data scientists, signal processing experts, and test engineers-to bring breakthrough technologies to life. Your work will span from concept to integration, partnering with teams across the company to ensure seamless implementation and long-term success.

If you're passionate about pushing the boundaries of audio through intelligent systems and creative problem-solving, we'd love to hear from you.

This position can be remote from anywhere in the U.S. but high preference to someone who can be local to the Niles, IL HQ!

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
• Utilize 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
• Mentors, coaches, and monitors the work of less experienced engineers.
• 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
• Participate in Working Groups: collaborate to solve specific problems, sometimes tangential to your expertise

• Education (1 year of college is equivalent to 2 years of experience):
  • Bachelor's degree in electrical engineering, computer science, mathematics, statistic, physics, data science, machine learning or field related to research science; with minimum 8 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 6 years of related experience
  • PhD 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
• 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, AWS, OnPrem GPU training tools
• Preferred Experience:
  • 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.

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.

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 $127,000 to $203,000, with a target salary of $160,000 with a midpoint target. This position may also be eligible for our incentive pay program, which varies based on individual and Company performance in the year. 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.

#LI-REMOTE