{"id":2729517,"url":"https://alion.io/job/shure-audio-applied-research-science-intern","title":"Audio Applied Research Science Intern","company":{"id":722947,"name":"Shure","domain":"shure.com","url":"https://alion.io/company/shure","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":8,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Niles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":23,"max":43,"currency":"USD","period":"hour","gross":null,"usd_annual":86000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-16T17:28:30Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-20T18:32:16Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Overview\nSUMMER 2027\nShure offers a challenging, fun, and rewarding summer internship program. The twelve-week program is offered to undergraduate and graduate students. We offer internships with a variety of work arrangements from onsite interns to fully remote in US. Each intern will receive a competitive salary. Additionally, Interns who are asked to relocate to Illinois for onsite internships will receive a housing stipend to cover living expenses. Applications will be collected, reviewed, and selected candidates will be contacted in late fall/early winter.\nThe Signal Processing and Applied Research Science team is seeking a highly motivated AudioApplied Research Science Intern to help develop next-generation audio technologies powered by machine learning and artificial intelligence. This role offers the opportunity to contribute to cuttingedge research and product development in professional audio applications.\nThis Internship will be Remote, Onsite or Hybrid in Niles, IL.\nResponsibilities\nConducting research and developing machine learning solutions for challenging audio problems.\nCollecting, creating, and curating datasets for model development and evaluation.\nDesigning, training, and evaluating deep learning models for audio applications, including:Single- and multi-channel audio processing\nSpeech enhancement\nMusic enhancement\nAudio classification\nOther audio intelligence and signal processing tasks\n\nInvestigating and implementing state-of-the-art machine learning architectures and techniques.\nOptimizing and adapting models for deployment across a variety of hardware and software platforms.\nApplying modern machine learning engineering practices, including shared codebases, reusable toolkits, experiment tracking, and reproducible workflows.\nDocumenting research findings, experimental results, and technical recommendations using collaborative documentation tools.\nPresenting technical results and insights to research and engineering teams.\nQualifications\nCurrently pursuing a PhD or advanced Master's degree in Electrical Engineering, Computer Science, Mathematics, Statistics, Physics, Data Science, Machine Learning, or a related quantitative field.\nDemonstrated research or project experience in machine learning, deep learning, or artificial intelligence.\nExperience applying machine learning techniques to audio, speech, digital signal processing, multimedia, or related domains.\nProficiency with modern machine learning frameworks and libraries such as PyTorch, TensorFlow, JAX, or equivalent.\nStrong programming skills in Python and experience working with scientific computing tools.\nAbility to independently investigate complex technical challenges and rapidly prototype solutions.\nStrong written and verbal communication skills.\nExperience with audio signal processing, acoustics, speech processing, or music information retrieval.\nFamiliarity with MLOps practices, including experiment tracking, model versioning, CI/CD workflows, or scalable training infrastructure.\nExperience deploying machine learning models to embedded, edge, mobile, cloud, or realtime systems.\nExperience with full-stack software development and cloud technologies.\nPublications, open-source contributions, or demonstrated research achievements are a plus.\nApplicants 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.\nWHO WE ARE\nShure’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.\nShure 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.\nJoin Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence.\nTHE 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!\nPAY TRANSPARENCY\nModeled by extensive market analysis and economic best practices, Shure offers competitive intern compensation that is reviewed and adjusted annually by our Total Rewards Team to attract, hire, and retain the industry’s top intern talent. Each internship has an hourly rate which varies from $23-$43 per hour based on job function (Engineering, IT, Business, etc) and year completed in school (Junior, Masters 2nd year, PHD, etc).\nWE GOT YOU - Our Benefits\nAt Shure, we prioritize the well-being of our associates. Benefits for our interns include retirement savings plans and paid time off, employee discounts, professional development opportunities, and work-life balance initiatives. 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