Algorithms Intern

Starkey

Eden Prairie, MNOn-siteFull time, Internship
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Pay
$39
an hour
Location
Eden Prairie, MN
Work style
On-site
Job type
Full time, Internship
Posted
Nov 3
2 days ago
Career path

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About the company

Starkey

Medical devices · 5,001 to 10,000 employees

Starkey is a world leader in the manufacturing and distribution of advanced hearing technologies. We are in the business of connecting people and changing lives. Our teams come to work each day focused on ensuring people everywhere have the products and services they need to hear better and live better. Founded in 1967 by Bill Austin, Starkey is known for our cutting-edge hearing health innovations, industry-leading research and development, and not being afraid to push the edge of what’s possible. We are headquartered in Eden Prairie, Minnesota, have over 5,000 employees in 29 facilities across the globe, and do business in more than 100 markets worldwide.

Starkey on LinkedIn

What you'll do

  • Assist in researching new algorithms for future hearing aid products
  • Write high-level simulations for proof of concept and algorithm behavior
  • Design and implement methods for evaluating algorithms
  • Develop and train machine learning models for signal processing applications
  • Explore computational efficiencies for algorithms
  • Verify the performance of real time algorithms
  • Follow proper documentation procedures
  • Produce scientific publications from research, if necessary

What you need

  • Master’s degree or higher in Electrical Engineer or related field
  • 0-2 years of signal processing research experience
  • Knowledge of audio signal processing theory
  • Proficiency in Matlab or Python
  • Good verbal and written communication skills
  • Research experience with hearing aids or cochlear implants (preferred)
  • Experience in audio signal processing, psychoacoustics, or acoustics (preferred)
  • Experience in machine learning methods and deep learning (preferred)
  • Education: a postgraduate degree

Key skills

audio signal processingdeep neural networksMatlabPythonmachine learningspeech analysisarray processingaudio classification algorithmspsychoacousticsacoustics

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See full description on company page, apply now

Read the full posting here
This position will contribute to the machine learning and signal processing research efforts currently underway within Starkey’s Algorithms and Data Technology research group. We are specifically looking for interns with knowledge of audio signal processing and deep neural networks. Starkey is a world leader in the manufacturing and distribution of advanced hearing technologies. We are in the business of connecting people and changing lives. Our teams come to work each day focused on ensuring people everywhere have the products and services they need to hear better and live better. Founded in 1967 by Bill Austin, Starkey is known for our cutting-edge hearing health innovations, industry-leading research and development, and not being afraid to push the edge of what’s possible. We are headquartered in Eden Prairie, Minnesota, have over 5,000 employees in 29 facilities across the globe, and do business in more than 100 markets worldwide. Watch this video to see more of what sets Starkey apart: https://youtu.be/9cUYwTlCepg?si=wkovx8_R_iINfrc6 JOB SUMMARY DESCRIPTION / PRIMARY PURPOSE OF JOB Starkey is much more than the hearing aids we produce. We are in the business of connecting people and changing lives. We believe being able to hear the world and the people around us is as essential to the human experience as breathing. As a world leader and largest American hearing aid company, we design and deliver advanced hearing solutions that empower individuals to reach their full potential. This position will contribute to the machine learning and signal processing research efforts currently underway within Starkey’s Algorithms and Data Technology research group. We are specifically looking for interns with knowledge of audio signal processing and deep neural networks. JOB REQUIREMENTS Gain valuable industry experience by participating in Starkey’s Signal Processing Research internship program Get up to speed on the Algorithms Research group’s role within the organization Familiarize self with group members, working environment, processes, and equipment Meet every two weeks with the Manager of Algorithms to track progress and provide updates Follow guidance and direction from Sr Engineers Work independently or as a team member as necessary Increase knowledge of signal processing technologies by assisting in the research of new algorithms to be used in Starkey’s future hearing aid products. Write high-level simulations for proof of concept and exploration of algorithm behavior Design and implement effective methods for evaluation of algorithms Develop and train machine learning models for signal processing applications Explore computational efficiencies for algorithms Verify the performance of real time algorithms Follow proper documentation procedures Produce scientific publications from research, if necessary Job Requirements Education Master’s degree or higher in Electrical Engineer or related field Experience 0-2 years of signal processing research experience required Research experience with hearing aids or cochlear implants preferred Experience in audio signal processing, psychoacoustics, or acoustics is preferred Experience in machine learning methods and deep learning preferred Knowledge / Technical Requirements Knowledge of audio signal processing theory required Familiarity with speech analysis, array processing, and audio classification algorithms desired knowledge of modern machine learning techniques including deep neural networks is desired Skills & Abilities Proficiency in Matlab or Python is required Good verbal and written communication skills is required Salary and Other Compensation: The target pay rate for this position is $39.00 per hour. Factors which may affect starting pay within this range may include: geography/market, skills, education, experience and other qualifications of the successful candidate. #LI-MP1

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